{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "Faster RCNN.ipynb",
      "provenance": [],
      "mount_file_id": "19zN5ZscfihQigVotXf0BJjeYFgSd5FZs",
      "authorship_tag": "ABX9TyOQEHn38ZBSBaJTy6Jj+OZi",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/hzq1112/Machine-learning-learning-notes/blob/master/Faster_RCNN.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "DsWSDaBBCrL4",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "outputId": "64f46ddd-3c30-4e00-ce1c-c761d0c0cf36"
      },
      "source": [
        "pwd"
      ],
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "application/vnd.google.colaboratory.intrinsic": {
              "type": "string"
            },
            "text/plain": [
              "'/content'"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 1
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "UKf4l82dDAFT",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "e8574484-27bb-4fa7-877f-1db78005057f"
      },
      "source": [
        "cd /content/drive/My Drive/faster-rcnn.pytorch-pytorch-1.0"
      ],
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content/drive/My Drive/faster-rcnn.pytorch-pytorch-1.0\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "z9kHHiyfDUK7",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "outputId": "30cb3404-f1a8-448f-dcd9-ea1d15b5924e"
      },
      "source": [
        "pwd"
      ],
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "application/vnd.google.colaboratory.intrinsic": {
              "type": "string"
            },
            "text/plain": [
              "'/content/drive/My Drive/faster-rcnn.pytorch'"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 3
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "gDb-8tRbDir8",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 50
        },
        "outputId": "62fcd1e3-1c6c-4d57-880a-e5396889ba4e"
      },
      "source": [
        "!git checkout pytorch-1.0"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "fatal: not a git repository (or any parent up to mount point /content)\n",
            "Stopping at filesystem boundary (GIT_DISCOVERY_ACROSS_FILESYSTEM not set).\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "g16A2IwqDpAH",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "6ab49895-cc66-481e-b963-d130c14fc0fa"
      },
      "source": [
        "!git init checkout pytorch-1.0"
      ],
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "usage: git init [-q | --quiet] [--bare] [--template=<template-directory>] [--shared[=<permissions>]] [<directory>]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "MAioX1GfD-1M",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "d97438ea-0858-4e44-afc6-6616ade38f01"
      },
      "source": [
        "!git init"
      ],
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Initialized empty Git repository in /content/drive/My Drive/faster-rcnn.pytorch/.git/\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "tm9IfyX0EQvB",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 131
        },
        "outputId": "bc01bca6-400f-49b2-d286-749956b4eaea"
      },
      "source": [
        "git checkout pytorch-1.0"
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "error",
          "ename": "SyntaxError",
          "evalue": "ignored",
          "traceback": [
            "\u001b[0;36m  File \u001b[0;32m\"<ipython-input-7-cf5577557a17>\"\u001b[0;36m, line \u001b[0;32m1\u001b[0m\n\u001b[0;31m    git checkout pytorch-1.0\u001b[0m\n\u001b[0m               ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m invalid syntax\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "gMI7eJU0EbYA",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "b330daca-5488-4839-8e9a-c16f38a7f32a"
      },
      "source": [
        "!git checkout pytorch-1.0"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "error: pathspec 'pytorch-1.0' did not match any file(s) known to git.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "U96fiTa2EdQC",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 165
        },
        "outputId": "1b38c586-c94f-45ae-b2df-ffbac0b270fe"
      },
      "source": [
        "ped"
      ],
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "error",
          "ename": "NameError",
          "evalue": "ignored",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-9-55868b5fb74d>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mped\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
            "\u001b[0;31mNameError\u001b[0m: name 'ped' is not defined"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "MV2H9EXeEfri",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "outputId": "532c5ac0-ef45-479d-d556-a7e2a4c8eb48"
      },
      "source": [
        "pwd"
      ],
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "application/vnd.google.colaboratory.intrinsic": {
              "type": "string"
            },
            "text/plain": [
              "'/content/drive/My Drive/faster-rcnn.pytorch'"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "69UJcwA1EgoF",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "!mkdir data"
      ],
      "execution_count": 11,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "l9oDwd1aE6GF",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 406
        },
        "outputId": "6c575876-a5c0-4604-815f-f0e9b9dbae8d"
      },
      "source": [
        "!pip install -r requirements.txt"
      ],
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Requirement already satisfied: cython in /usr/local/lib/python3.6/dist-packages (from -r requirements.txt (line 1)) (0.29.20)\n",
            "Requirement already satisfied: cffi in /usr/local/lib/python3.6/dist-packages (from -r requirements.txt (line 2)) (1.14.0)\n",
            "Requirement already satisfied: opencv-python in /usr/local/lib/python3.6/dist-packages (from -r requirements.txt (line 3)) (4.1.2.30)\n",
            "Requirement already satisfied: scipy in /usr/local/lib/python3.6/dist-packages (from -r requirements.txt (line 4)) (1.4.1)\n",
            "Requirement already satisfied: msgpack in /usr/local/lib/python3.6/dist-packages (from -r requirements.txt (line 5)) (1.0.0)\n",
            "Requirement already satisfied: easydict in /usr/local/lib/python3.6/dist-packages (from -r requirements.txt (line 6)) (1.9)\n",
            "Requirement already satisfied: matplotlib in /usr/local/lib/python3.6/dist-packages (from -r requirements.txt (line 7)) (3.2.2)\n",
            "Requirement already satisfied: pyyaml in /usr/local/lib/python3.6/dist-packages (from -r requirements.txt (line 8)) (3.13)\n",
            "Collecting tensorboardX\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/af/0c/4f41bcd45db376e6fe5c619c01100e9b7531c55791b7244815bac6eac32c/tensorboardX-2.1-py2.py3-none-any.whl (308kB)\n",
            "\u001b[K     |████████████████████████████████| 317kB 2.7MB/s \n",
            "\u001b[?25hRequirement already satisfied: pycparser in /usr/local/lib/python3.6/dist-packages (from cffi->-r requirements.txt (line 2)) (2.20)\n",
            "Requirement already satisfied: numpy>=1.11.3 in /usr/local/lib/python3.6/dist-packages (from opencv-python->-r requirements.txt (line 3)) (1.18.5)\n",
            "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /usr/local/lib/python3.6/dist-packages (from matplotlib->-r requirements.txt (line 7)) (2.4.7)\n",
            "Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.6/dist-packages (from matplotlib->-r requirements.txt (line 7)) (1.2.0)\n",
            "Requirement already satisfied: python-dateutil>=2.1 in /usr/local/lib/python3.6/dist-packages (from matplotlib->-r requirements.txt (line 7)) (2.8.1)\n",
            "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.6/dist-packages (from matplotlib->-r requirements.txt (line 7)) (0.10.0)\n",
            "Requirement already satisfied: six in /usr/local/lib/python3.6/dist-packages (from tensorboardX->-r requirements.txt (line 9)) (1.12.0)\n",
            "Requirement already satisfied: protobuf>=3.8.0 in /usr/local/lib/python3.6/dist-packages (from tensorboardX->-r requirements.txt (line 9)) (3.10.0)\n",
            "Requirement already satisfied: setuptools in /usr/local/lib/python3.6/dist-packages (from protobuf>=3.8.0->tensorboardX->-r requirements.txt (line 9)) (49.1.0)\n",
            "Installing collected packages: tensorboardX\n",
            "Successfully installed tensorboardX-2.1\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "nchBDwoIFAKQ",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 101
        },
        "outputId": "4bd4e6d0-1f42-4441-cb44-95c3d68a6c70"
      },
      "source": [
        "!git clone https://github.com/pdollar/coco.git"
      ],
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Cloning into 'coco'...\n",
            "remote: Enumerating objects: 975, done.\u001b[K\n",
            "remote: Total 975 (delta 0), reused 0 (delta 0), pack-reused 975\u001b[K\n",
            "Receiving objects: 100% (975/975), 11.72 MiB | 13.22 MiB/s, done.\n",
            "Resolving deltas: 100% (576/576), done.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9Khq-KB9FEma",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "ff1d4691-0175-4227-cc8d-5d0cbc38aa93"
      },
      "source": [
        "cd coco/PythonAPI"
      ],
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content/drive/My Drive/faster-rcnn.pytorch/coco/PythonAPI\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9nk-e6-PFJh0",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "b8b6436c-376d-446e-f045-aeb952701b12"
      },
      "source": [
        "!make"
      ],
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "python setup.py build_ext --inplace\n",
            "running build_ext\n",
            "cythoning pycocotools/_mask.pyx to pycocotools/_mask.c\n",
            "/usr/local/lib/python3.6/dist-packages/Cython/Compiler/Main.py:369: FutureWarning: Cython directive 'language_level' not set, using 2 for now (Py2). This will change in a later release! File: /content/drive/My Drive/faster-rcnn.pytorch/coco/PythonAPI/pycocotools/_mask.pyx\n",
            "  tree = Parsing.p_module(s, pxd, full_module_name)\n",
            "building 'pycocotools._mask' extension\n",
            "creating build\n",
            "creating build/common\n",
            "creating build/temp.linux-x86_64-3.6\n",
            "creating build/temp.linux-x86_64-3.6/pycocotools\n",
            "x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/local/lib/python3.6/dist-packages/numpy/core/include -I../common -I/usr/include/python3.6m -c ../common/maskApi.c -o build/temp.linux-x86_64-3.6/../common/maskApi.o -Wno-cpp -Wno-unused-function -std=c99\n",
            "\u001b[01m\u001b[K../common/maskApi.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[KrleDecode\u001b[m\u001b[K’:\n",
            "\u001b[01m\u001b[K../common/maskApi.c:46:7:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kthis ‘\u001b[01m\u001b[Kfor\u001b[m\u001b[K’ clause does not guard... [\u001b[01;35m\u001b[K-Wmisleading-indentation\u001b[m\u001b[K]\n",
            "       \u001b[01;35m\u001b[Kfor\u001b[m\u001b[K( k=0; k<R[i].cnts[j]; k++ ) *(M++)=v; v=!v; }}\n",
            "       \u001b[01;35m\u001b[K^~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K../common/maskApi.c:46:49:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[K...this statement, but the latter is misleadingly indented as if it were guarded by the ‘\u001b[01m\u001b[Kfor\u001b[m\u001b[K’\n",
            "       for( k=0; k<R[i].cnts[j]; k++ ) *(M++)=v; \u001b[01;36m\u001b[Kv\u001b[m\u001b[K=!v; }}\n",
            "                                                 \u001b[01;36m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K../common/maskApi.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[KrleFrPoly\u001b[m\u001b[K’:\n",
            "\u001b[01m\u001b[K../common/maskApi.c:166:3:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kthis ‘\u001b[01m\u001b[Kfor\u001b[m\u001b[K’ clause does not guard... [\u001b[01;35m\u001b[K-Wmisleading-indentation\u001b[m\u001b[K]\n",
            "   \u001b[01;35m\u001b[Kfor\u001b[m\u001b[K(j=0; j<k; j++) x[j]=(int)(scale*xy[j*2+0]+.5); x[k]=x[0];\n",
            "   \u001b[01;35m\u001b[K^~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K../common/maskApi.c:166:54:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[K...this statement, but the latter is misleadingly indented as if it were guarded by the ‘\u001b[01m\u001b[Kfor\u001b[m\u001b[K’\n",
            "   for(j=0; j<k; j++) x[j]=(int)(scale*xy[j*2+0]+.5); \u001b[01;36m\u001b[Kx\u001b[m\u001b[K[k]=x[0];\n",
            "                                                      \u001b[01;36m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K../common/maskApi.c:167:3:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kthis ‘\u001b[01m\u001b[Kfor\u001b[m\u001b[K’ clause does not guard... [\u001b[01;35m\u001b[K-Wmisleading-indentation\u001b[m\u001b[K]\n",
            "   \u001b[01;35m\u001b[Kfor\u001b[m\u001b[K(j=0; j<k; j++) y[j]=(int)(scale*xy[j*2+1]+.5); y[k]=y[0];\n",
            "   \u001b[01;35m\u001b[K^~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K../common/maskApi.c:167:54:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[K...this statement, but the latter is misleadingly indented as if it were guarded by the ‘\u001b[01m\u001b[Kfor\u001b[m\u001b[K’\n",
            "   for(j=0; j<k; j++) y[j]=(int)(scale*xy[j*2+1]+.5); \u001b[01;36m\u001b[Ky\u001b[m\u001b[K[k]=y[0];\n",
            "                                                      \u001b[01;36m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K../common/maskApi.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[KrleToString\u001b[m\u001b[K’:\n",
            "\u001b[01m\u001b[K../common/maskApi.c:212:7:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kthis ‘\u001b[01m\u001b[Kif\u001b[m\u001b[K’ clause does not guard... [\u001b[01;35m\u001b[K-Wmisleading-indentation\u001b[m\u001b[K]\n",
            "       \u001b[01;35m\u001b[Kif\u001b[m\u001b[K(more) c |= 0x20; c+=48; s[p++]=c;\n",
            "       \u001b[01;35m\u001b[K^~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K../common/maskApi.c:212:27:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[K...this statement, but the latter is misleadingly indented as if it were guarded by the ‘\u001b[01m\u001b[Kif\u001b[m\u001b[K’\n",
            "       if(more) c |= 0x20; \u001b[01;36m\u001b[Kc\u001b[m\u001b[K+=48; s[p++]=c;\n",
            "                           \u001b[01;36m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K../common/maskApi.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[KrleFrString\u001b[m\u001b[K’:\n",
            "\u001b[01m\u001b[K../common/maskApi.c:220:3:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kthis ‘\u001b[01m\u001b[Kwhile\u001b[m\u001b[K’ clause does not guard... [\u001b[01;35m\u001b[K-Wmisleading-indentation\u001b[m\u001b[K]\n",
            "   \u001b[01;35m\u001b[Kwhile\u001b[m\u001b[K( s[m] ) m++; cnts=malloc(sizeof(uint)*m); m=0;\n",
            "   \u001b[01;35m\u001b[K^~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K../common/maskApi.c:220:22:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[K...this statement, but the latter is misleadingly indented as if it were guarded by the ‘\u001b[01m\u001b[Kwhile\u001b[m\u001b[K’\n",
            "   while( s[m] ) m++; \u001b[01;36m\u001b[Kcnts\u001b[m\u001b[K=malloc(sizeof(uint)*m); m=0;\n",
            "                      \u001b[01;36m\u001b[K^~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K../common/maskApi.c:228:5:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[Kthis ‘\u001b[01m\u001b[Kif\u001b[m\u001b[K’ clause does not guard... [\u001b[01;35m\u001b[K-Wmisleading-indentation\u001b[m\u001b[K]\n",
            "     \u001b[01;35m\u001b[Kif\u001b[m\u001b[K(m>2) x+=(long) cnts[m-2]; cnts[m++]=(uint) x;\n",
            "     \u001b[01;35m\u001b[K^~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K../common/maskApi.c:228:34:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[K...this statement, but the latter is misleadingly indented as if it were guarded by the ‘\u001b[01m\u001b[Kif\u001b[m\u001b[K’\n",
            "     if(m>2) x+=(long) cnts[m-2]; \u001b[01;36m\u001b[Kcnts\u001b[m\u001b[K[m++]=(uint) x;\n",
            "                                  \u001b[01;36m\u001b[K^~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K../common/maskApi.c:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[KrleToBbox\u001b[m\u001b[K’:\n",
            "\u001b[01m\u001b[K../common/maskApi.c:141:31:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[Kxp\u001b[m\u001b[K’ may be used uninitialized in this function [\u001b[01;35m\u001b[K-Wmaybe-uninitialized\u001b[m\u001b[K]\n",
            "       if(j%2==0) xp=x; else if\u001b[01;35m\u001b[K(\u001b[m\u001b[Kxp<x) { ys=0; ye=h-1; }\n",
            "                               \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/local/lib/python3.6/dist-packages/numpy/core/include -I../common -I/usr/include/python3.6m -c pycocotools/_mask.c -o build/temp.linux-x86_64-3.6/pycocotools/_mask.o -Wno-cpp -Wno-unused-function -std=c99\n",
            "creating build/lib.linux-x86_64-3.6\n",
            "creating build/lib.linux-x86_64-3.6/pycocotools\n",
            "x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-3.6/../common/maskApi.o build/temp.linux-x86_64-3.6/pycocotools/_mask.o -o build/lib.linux-x86_64-3.6/pycocotools/_mask.cpython-36m-x86_64-linux-gnu.so\n",
            "copying build/lib.linux-x86_64-3.6/pycocotools/_mask.cpython-36m-x86_64-linux-gnu.so -> pycocotools\n",
            "rm -rf build\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "JUP4FbArFMkU",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "237c9462-bce8-4386-f2c8-74bebca6a391"
      },
      "source": [
        "cd /content/drive/My Drive/faster-rcnn.pytorch/lib"
      ],
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content/drive/My Drive/faster-rcnn.pytorch/lib\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ZWApZfadFUDE",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 131
        },
        "outputId": "2f323302-dc6f-4746-ca34-7abd71ace4bf"
      },
      "source": [
        "python setup.py build develop"
      ],
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "error",
          "ename": "SyntaxError",
          "evalue": "ignored",
          "traceback": [
            "\u001b[0;36m  File \u001b[0;32m\"<ipython-input-17-f0607fc658bd>\"\u001b[0;36m, line \u001b[0;32m1\u001b[0m\n\u001b[0;31m    python setup.py build develop\u001b[0m\n\u001b[0m               ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m invalid syntax\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "WtS9KfOwFXwY",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "43433d8c-7253-495d-8cc7-c1c6c3cab4e9"
      },
      "source": [
        "!python setup.py build develop"
      ],
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "running build\n",
            "running build_py\n",
            "creating build\n",
            "creating build/lib.linux-x86_64-3.6\n",
            "creating build/lib.linux-x86_64-3.6/pycocotools\n",
            "copying pycocotools/coco.py -> build/lib.linux-x86_64-3.6/pycocotools\n",
            "copying pycocotools/mask.py -> build/lib.linux-x86_64-3.6/pycocotools\n",
            "copying pycocotools/cocoeval.py -> build/lib.linux-x86_64-3.6/pycocotools\n",
            "copying pycocotools/__init__.py -> build/lib.linux-x86_64-3.6/pycocotools\n",
            "creating build/lib.linux-x86_64-3.6/roi_data_layer\n",
            "copying roi_data_layer/minibatch.py -> build/lib.linux-x86_64-3.6/roi_data_layer\n",
            "copying roi_data_layer/roidb.py -> build/lib.linux-x86_64-3.6/roi_data_layer\n",
            "copying roi_data_layer/__init__.py -> build/lib.linux-x86_64-3.6/roi_data_layer\n",
            "copying roi_data_layer/roibatchLoader.py -> build/lib.linux-x86_64-3.6/roi_data_layer\n",
            "creating build/lib.linux-x86_64-3.6/model\n",
            "copying model/__init__.py -> build/lib.linux-x86_64-3.6/model\n",
            "creating build/lib.linux-x86_64-3.6/datasets\n",
            "copying datasets/__init__.py -> build/lib.linux-x86_64-3.6/datasets\n",
            "copying datasets/voc_eval.py -> build/lib.linux-x86_64-3.6/datasets\n",
            "copying datasets/imagenet.py -> build/lib.linux-x86_64-3.6/datasets\n",
            "copying datasets/coco.py -> build/lib.linux-x86_64-3.6/datasets\n",
            "copying datasets/ds_utils.py -> build/lib.linux-x86_64-3.6/datasets\n",
            "copying datasets/imdb.py -> build/lib.linux-x86_64-3.6/datasets\n",
            "copying datasets/vg.py -> build/lib.linux-x86_64-3.6/datasets\n",
            "copying datasets/vg_eval.py -> build/lib.linux-x86_64-3.6/datasets\n",
            "copying datasets/pascal_voc.py -> build/lib.linux-x86_64-3.6/datasets\n",
            "copying datasets/pascal_voc_rbg.py -> build/lib.linux-x86_64-3.6/datasets\n",
            "copying datasets/factory.py -> build/lib.linux-x86_64-3.6/datasets\n",
            "creating build/lib.linux-x86_64-3.6/model/utils\n",
            "copying model/utils/logger.py -> build/lib.linux-x86_64-3.6/model/utils\n",
            "copying model/utils/config.py -> build/lib.linux-x86_64-3.6/model/utils\n",
            "copying model/utils/net_utils.py -> build/lib.linux-x86_64-3.6/model/utils\n",
            "copying model/utils/blob.py -> build/lib.linux-x86_64-3.6/model/utils\n",
            "copying model/utils/__init__.py -> build/lib.linux-x86_64-3.6/model/utils\n",
            "creating build/lib.linux-x86_64-3.6/model/roi_layers\n",
            "copying model/roi_layers/roi_pool.py -> build/lib.linux-x86_64-3.6/model/roi_layers\n",
            "copying model/roi_layers/__init__.py -> build/lib.linux-x86_64-3.6/model/roi_layers\n",
            "copying model/roi_layers/roi_align.py -> build/lib.linux-x86_64-3.6/model/roi_layers\n",
            "copying model/roi_layers/nms.py -> build/lib.linux-x86_64-3.6/model/roi_layers\n",
            "creating build/lib.linux-x86_64-3.6/model/rpn\n",
            "copying model/rpn/__init__.py -> build/lib.linux-x86_64-3.6/model/rpn\n",
            "copying model/rpn/generate_anchors.py -> build/lib.linux-x86_64-3.6/model/rpn\n",
            "copying model/rpn/proposal_target_layer_cascade.py -> build/lib.linux-x86_64-3.6/model/rpn\n",
            "copying model/rpn/anchor_target_layer.py -> build/lib.linux-x86_64-3.6/model/rpn\n",
            "copying model/rpn/rpn.py -> build/lib.linux-x86_64-3.6/model/rpn\n",
            "copying model/rpn/proposal_layer.py -> build/lib.linux-x86_64-3.6/model/rpn\n",
            "copying model/rpn/bbox_transform.py -> build/lib.linux-x86_64-3.6/model/rpn\n",
            "creating build/lib.linux-x86_64-3.6/model/nms\n",
            "copying model/nms/build.py -> build/lib.linux-x86_64-3.6/model/nms\n",
            "copying model/nms/nms_gpu.py -> build/lib.linux-x86_64-3.6/model/nms\n",
            "copying model/nms/__init__.py -> build/lib.linux-x86_64-3.6/model/nms\n",
            "copying model/nms/nms_wrapper.py -> build/lib.linux-x86_64-3.6/model/nms\n",
            "copying model/nms/nms_cpu.py -> build/lib.linux-x86_64-3.6/model/nms\n",
            "creating build/lib.linux-x86_64-3.6/model/roi_align\n",
            "copying model/roi_align/__init__.py -> build/lib.linux-x86_64-3.6/model/roi_align\n",
            "copying model/roi_align/build.py -> build/lib.linux-x86_64-3.6/model/roi_align\n",
            "creating build/lib.linux-x86_64-3.6/model/roi_pooling\n",
            "copying model/roi_pooling/build.py -> build/lib.linux-x86_64-3.6/model/roi_pooling\n",
            "copying model/roi_pooling/__init__.py -> build/lib.linux-x86_64-3.6/model/roi_pooling\n",
            "creating build/lib.linux-x86_64-3.6/model/faster_rcnn\n",
            "copying model/faster_rcnn/vgg16.py -> build/lib.linux-x86_64-3.6/model/faster_rcnn\n",
            "copying model/faster_rcnn/faster_rcnn.py -> build/lib.linux-x86_64-3.6/model/faster_rcnn\n",
            "copying model/faster_rcnn/resnet.py -> build/lib.linux-x86_64-3.6/model/faster_rcnn\n",
            "copying model/faster_rcnn/__init__.py -> build/lib.linux-x86_64-3.6/model/faster_rcnn\n",
            "creating build/lib.linux-x86_64-3.6/model/roi_crop\n",
            "copying model/roi_crop/__init__.py -> build/lib.linux-x86_64-3.6/model/roi_crop\n",
            "copying model/roi_crop/build.py -> build/lib.linux-x86_64-3.6/model/roi_crop\n",
            "creating build/lib.linux-x86_64-3.6/model/nms/_ext\n",
            "copying model/nms/_ext/__init__.py -> build/lib.linux-x86_64-3.6/model/nms/_ext\n",
            "creating build/lib.linux-x86_64-3.6/model/nms/_ext/nms\n",
            "copying model/nms/_ext/nms/__init__.py -> build/lib.linux-x86_64-3.6/model/nms/_ext/nms\n",
            "creating build/lib.linux-x86_64-3.6/model/roi_align/_ext\n",
            "copying model/roi_align/_ext/__init__.py -> build/lib.linux-x86_64-3.6/model/roi_align/_ext\n",
            "creating build/lib.linux-x86_64-3.6/model/roi_align/functions\n",
            "copying model/roi_align/functions/roi_align.py -> build/lib.linux-x86_64-3.6/model/roi_align/functions\n",
            "copying model/roi_align/functions/__init__.py -> build/lib.linux-x86_64-3.6/model/roi_align/functions\n",
            "creating build/lib.linux-x86_64-3.6/model/roi_align/modules\n",
            "copying model/roi_align/modules/roi_align.py -> build/lib.linux-x86_64-3.6/model/roi_align/modules\n",
            "copying model/roi_align/modules/__init__.py -> build/lib.linux-x86_64-3.6/model/roi_align/modules\n",
            "creating build/lib.linux-x86_64-3.6/model/roi_align/_ext/roi_align\n",
            "copying model/roi_align/_ext/roi_align/__init__.py -> build/lib.linux-x86_64-3.6/model/roi_align/_ext/roi_align\n",
            "creating build/lib.linux-x86_64-3.6/model/roi_pooling/_ext\n",
            "copying model/roi_pooling/_ext/__init__.py -> build/lib.linux-x86_64-3.6/model/roi_pooling/_ext\n",
            "creating build/lib.linux-x86_64-3.6/model/roi_pooling/modules\n",
            "copying model/roi_pooling/modules/roi_pool.py -> build/lib.linux-x86_64-3.6/model/roi_pooling/modules\n",
            "copying model/roi_pooling/modules/__init__.py -> build/lib.linux-x86_64-3.6/model/roi_pooling/modules\n",
            "creating build/lib.linux-x86_64-3.6/model/roi_pooling/functions\n",
            "copying model/roi_pooling/functions/__init__.py -> build/lib.linux-x86_64-3.6/model/roi_pooling/functions\n",
            "copying model/roi_pooling/functions/roi_pool.py -> build/lib.linux-x86_64-3.6/model/roi_pooling/functions\n",
            "creating build/lib.linux-x86_64-3.6/model/roi_pooling/_ext/roi_pooling\n",
            "copying model/roi_pooling/_ext/roi_pooling/__init__.py -> build/lib.linux-x86_64-3.6/model/roi_pooling/_ext/roi_pooling\n",
            "creating build/lib.linux-x86_64-3.6/model/roi_crop/_ext\n",
            "copying model/roi_crop/_ext/__init__.py -> build/lib.linux-x86_64-3.6/model/roi_crop/_ext\n",
            "creating build/lib.linux-x86_64-3.6/model/roi_crop/modules\n",
            "copying model/roi_crop/modules/__init__.py -> build/lib.linux-x86_64-3.6/model/roi_crop/modules\n",
            "copying model/roi_crop/modules/gridgen.py -> build/lib.linux-x86_64-3.6/model/roi_crop/modules\n",
            "copying model/roi_crop/modules/roi_crop.py -> build/lib.linux-x86_64-3.6/model/roi_crop/modules\n",
            "creating build/lib.linux-x86_64-3.6/model/roi_crop/functions\n",
            "copying model/roi_crop/functions/__init__.py -> build/lib.linux-x86_64-3.6/model/roi_crop/functions\n",
            "copying model/roi_crop/functions/gridgen.py -> build/lib.linux-x86_64-3.6/model/roi_crop/functions\n",
            "copying model/roi_crop/functions/roi_crop.py -> build/lib.linux-x86_64-3.6/model/roi_crop/functions\n",
            "copying model/roi_crop/functions/crop_resize.py -> build/lib.linux-x86_64-3.6/model/roi_crop/functions\n",
            "creating build/lib.linux-x86_64-3.6/model/roi_crop/_ext/crop_resize\n",
            "copying model/roi_crop/_ext/crop_resize/__init__.py -> build/lib.linux-x86_64-3.6/model/roi_crop/_ext/crop_resize\n",
            "creating build/lib.linux-x86_64-3.6/model/roi_crop/_ext/roi_crop\n",
            "copying model/roi_crop/_ext/roi_crop/__init__.py -> build/lib.linux-x86_64-3.6/model/roi_crop/_ext/roi_crop\n",
            "running build_ext\n",
            "/usr/local/lib/python3.6/dist-packages/torch/utils/cpp_extension.py:305: UserWarning: Attempted to use ninja as the BuildExtension backend but we could not find ninja.. Falling back to using the slow distutils backend.\n",
            "  warnings.warn(msg.format('we could not find ninja.'))\n",
            "building 'model._C' extension\n",
            "creating build/temp.linux-x86_64-3.6\n",
            "creating build/temp.linux-x86_64-3.6/content\n",
            "creating build/temp.linux-x86_64-3.6/content/drive\n",
            "creating build/temp.linux-x86_64-3.6/content/drive/My Drive\n",
            "creating build/temp.linux-x86_64-3.6/content/drive/My Drive/faster-rcnn.pytorch\n",
            "creating build/temp.linux-x86_64-3.6/content/drive/My Drive/faster-rcnn.pytorch/lib\n",
            "creating build/temp.linux-x86_64-3.6/content/drive/My Drive/faster-rcnn.pytorch/lib/model\n",
            "creating build/temp.linux-x86_64-3.6/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc\n",
            "creating build/temp.linux-x86_64-3.6/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu\n",
            "creating build/temp.linux-x86_64-3.6/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cuda\n",
            "x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DWITH_CUDA -I/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc -I/usr/local/lib/python3.6/dist-packages/torch/include -I/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include -I/usr/local/lib/python3.6/dist-packages/torch/include/TH -I/usr/local/lib/python3.6/dist-packages/torch/include/THC -I/usr/local/cuda/include -I/usr/include/python3.6m -c /content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/vision.cpp -o build/temp.linux-x86_64-3.6/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/vision.o -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=_C -D_GLIBCXX_USE_CXX11_ABI=0 -std=c++14\n",
            "In file included from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/vision.cpp:2:0\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/nms.h:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kat::Tensor nms(const at::Tensor&, const at::Tensor&, float)\u001b[m\u001b[K’:\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/nms.h:14:17:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[Kat::DeprecatedTypeProperties& at::Tensor::type() const\u001b[m\u001b[K’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   if (dets.type(\u001b[01;35m\u001b[K)\u001b[m\u001b[K.is_cuda()) {\n",
            "                 \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Tensor.h:11:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Context.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:5\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/vision.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/nms.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/vision.cpp:2\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:262:30:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "   DeprecatedTypeProperties & \u001b[01;36m\u001b[Ktype\u001b[m\u001b[K() const {\n",
            "                              \u001b[01;36m\u001b[K^~~~\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/vision.cpp:3:0\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/ROIAlign.h:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kat::Tensor ROIAlign_forward(const at::Tensor&, const at::Tensor&, float, int, int, int)\u001b[m\u001b[K’:\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/ROIAlign.h:17:18:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[Kat::DeprecatedTypeProperties& at::Tensor::type() const\u001b[m\u001b[K’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   if (input.type(\u001b[01;35m\u001b[K)\u001b[m\u001b[K.is_cuda()) {\n",
            "                  \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Tensor.h:11:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Context.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:5\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/vision.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/nms.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/vision.cpp:2\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:262:30:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "   DeprecatedTypeProperties & \u001b[01;36m\u001b[Ktype\u001b[m\u001b[K() const {\n",
            "                              \u001b[01;36m\u001b[K^~~~\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/vision.cpp:3:0\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/ROIAlign.h:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kat::Tensor ROIAlign_backward(const at::Tensor&, const at::Tensor&, float, int, int, int, int, int, int, int)\u001b[m\u001b[K’:\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/ROIAlign.h:37:17:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[Kat::DeprecatedTypeProperties& at::Tensor::type() const\u001b[m\u001b[K’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   if (grad.type(\u001b[01;35m\u001b[K)\u001b[m\u001b[K.is_cuda()) {\n",
            "                 \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Tensor.h:11:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Context.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:5\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/vision.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/nms.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/vision.cpp:2\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:262:30:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "   DeprecatedTypeProperties & \u001b[01;36m\u001b[Ktype\u001b[m\u001b[K() const {\n",
            "                              \u001b[01;36m\u001b[K^~~~\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/vision.cpp:4:0\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/ROIPool.h:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kstd::tuple<at::Tensor, at::Tensor> ROIPool_forward(const at::Tensor&, const at::Tensor&, float, int, int)\u001b[m\u001b[K’:\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/ROIPool.h:16:18:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[Kat::DeprecatedTypeProperties& at::Tensor::type() const\u001b[m\u001b[K’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   if (input.type(\u001b[01;35m\u001b[K)\u001b[m\u001b[K.is_cuda()) {\n",
            "                  \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Tensor.h:11:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Context.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:5\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/vision.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/nms.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/vision.cpp:2\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:262:30:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "   DeprecatedTypeProperties & \u001b[01;36m\u001b[Ktype\u001b[m\u001b[K() const {\n",
            "                              \u001b[01;36m\u001b[K^~~~\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/vision.cpp:4:0\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/ROIPool.h:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kat::Tensor ROIPool_backward(const at::Tensor&, const at::Tensor&, const at::Tensor&, const at::Tensor&, float, int, int, int, int, int, int)\u001b[m\u001b[K’:\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/ROIPool.h:37:17:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[Kat::DeprecatedTypeProperties& at::Tensor::type() const\u001b[m\u001b[K’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   if (grad.type(\u001b[01;35m\u001b[K)\u001b[m\u001b[K.is_cuda()) {\n",
            "                 \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Tensor.h:11:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Context.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:5\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/vision.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/nms.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/vision.cpp:2\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:262:30:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "   DeprecatedTypeProperties & \u001b[01;36m\u001b[Ktype\u001b[m\u001b[K() const {\n",
            "                              \u001b[01;36m\u001b[K^~~~\u001b[m\u001b[K\n",
            "x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DWITH_CUDA -I/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc -I/usr/local/lib/python3.6/dist-packages/torch/include -I/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include -I/usr/local/lib/python3.6/dist-packages/torch/include/TH -I/usr/local/lib/python3.6/dist-packages/torch/include/THC -I/usr/local/cuda/include -I/usr/include/python3.6m -c /content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/ROIAlign_cpu.cpp -o build/temp.linux-x86_64-3.6/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/ROIAlign_cpu.o -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=_C -D_GLIBCXX_USE_CXX11_ABI=0 -std=c++14\n",
            "In file included from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/core/Device.h:5:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/core/Allocator.h:6\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/vision.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/ROIAlign_cpu.cpp:2\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/ROIAlign_cpu.cpp:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kat::Tensor ROIAlign_forward_cpu(const at::Tensor&, const at::Tensor&, float, int, int, int)\u001b[m\u001b[K’:\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/ROIAlign_cpu.cpp:227:26:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[Kat::DeprecatedTypeProperties& at::Tensor::type() const\u001b[m\u001b[K’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   AT_ASSERTM(!input.type(\u001b[01;35m\u001b[K)\u001b[m\u001b[K.is_cuda(), \"input must be a CPU tensor\");\n",
            "                          \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:164:39:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin definition of macro ‘\u001b[01m\u001b[KC10_EXPAND_MSVC_WORKAROUND\u001b[m\u001b[K’\n",
            " #define C10_EXPAND_MSVC_WORKAROUND(x) \u001b[01;36m\u001b[Kx\u001b[m\u001b[K\n",
            "                                       \u001b[01;36m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:183:34:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin expansion of macro ‘\u001b[01m\u001b[KC10_UNLIKELY\u001b[m\u001b[K’\n",
            " #define C10_UNLIKELY_OR_CONST(e) \u001b[01;36m\u001b[KC10_UNLIKELY\u001b[m\u001b[K(e)\n",
            "                                  \u001b[01;36m\u001b[K^~~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:220:7:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin expansion of macro ‘\u001b[01m\u001b[KC10_UNLIKELY_OR_CONST\u001b[m\u001b[K’\n",
            "   if (\u001b[01;36m\u001b[KC10_UNLIKELY_OR_CONST\u001b[m\u001b[K(!(cond))) {       \\\n",
            "       \u001b[01;36m\u001b[K^~~~~~~~~~~~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:410:32:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin expansion of macro ‘\u001b[01m\u001b[KTORCH_INTERNAL_ASSERT\u001b[m\u001b[K’\n",
            "     C10_EXPAND_MSVC_WORKAROUND(\u001b[01;36m\u001b[KTORCH_INTERNAL_ASSERT\u001b[m\u001b[K(cond, __VA_ARGS__));     \\\n",
            "                                \u001b[01;36m\u001b[K^~~~~~~~~~~~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/ROIAlign_cpu.cpp:227:3:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin expansion of macro ‘\u001b[01m\u001b[KAT_ASSERTM\u001b[m\u001b[K’\n",
            "   \u001b[01;36m\u001b[KA\u001b[m\u001b[KT_ASSERTM(!input.type().is_cuda(), \"input must be a CPU tensor\");\n",
            "   \u001b[01;36m\u001b[K^\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Tensor.h:11:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Context.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:5\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/vision.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/ROIAlign_cpu.cpp:2\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:262:30:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "   DeprecatedTypeProperties & \u001b[01;36m\u001b[Ktype\u001b[m\u001b[K() const {\n",
            "                              \u001b[01;36m\u001b[K^~~~\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/core/Device.h:5:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/core/Allocator.h:6\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/vision.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/ROIAlign_cpu.cpp:2\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/ROIAlign_cpu.cpp:228:25:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[Kat::DeprecatedTypeProperties& at::Tensor::type() const\u001b[m\u001b[K’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   AT_ASSERTM(!rois.type(\u001b[01;35m\u001b[K)\u001b[m\u001b[K.is_cuda(), \"rois must be a CPU tensor\");\n",
            "                         \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:164:39:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin definition of macro ‘\u001b[01m\u001b[KC10_EXPAND_MSVC_WORKAROUND\u001b[m\u001b[K’\n",
            " #define C10_EXPAND_MSVC_WORKAROUND(x) \u001b[01;36m\u001b[Kx\u001b[m\u001b[K\n",
            "                                       \u001b[01;36m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:183:34:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin expansion of macro ‘\u001b[01m\u001b[KC10_UNLIKELY\u001b[m\u001b[K’\n",
            " #define C10_UNLIKELY_OR_CONST(e) \u001b[01;36m\u001b[KC10_UNLIKELY\u001b[m\u001b[K(e)\n",
            "                                  \u001b[01;36m\u001b[K^~~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:220:7:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin expansion of macro ‘\u001b[01m\u001b[KC10_UNLIKELY_OR_CONST\u001b[m\u001b[K’\n",
            "   if (\u001b[01;36m\u001b[KC10_UNLIKELY_OR_CONST\u001b[m\u001b[K(!(cond))) {       \\\n",
            "       \u001b[01;36m\u001b[K^~~~~~~~~~~~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:410:32:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin expansion of macro ‘\u001b[01m\u001b[KTORCH_INTERNAL_ASSERT\u001b[m\u001b[K’\n",
            "     C10_EXPAND_MSVC_WORKAROUND(\u001b[01;36m\u001b[KTORCH_INTERNAL_ASSERT\u001b[m\u001b[K(cond, __VA_ARGS__));     \\\n",
            "                                \u001b[01;36m\u001b[K^~~~~~~~~~~~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/ROIAlign_cpu.cpp:228:3:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin expansion of macro ‘\u001b[01m\u001b[KAT_ASSERTM\u001b[m\u001b[K’\n",
            "   \u001b[01;36m\u001b[KA\u001b[m\u001b[KT_ASSERTM(!rois.type().is_cuda(), \"rois must be a CPU tensor\");\n",
            "   \u001b[01;36m\u001b[K^\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Tensor.h:11:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Context.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:5\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/vision.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/ROIAlign_cpu.cpp:2\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:262:30:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "   DeprecatedTypeProperties & \u001b[01;36m\u001b[Ktype\u001b[m\u001b[K() const {\n",
            "                              \u001b[01;36m\u001b[K^~~~\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:9:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/vision.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/ROIAlign_cpu.cpp:2\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/ROIAlign_cpu.cpp:\u001b[m\u001b[K In lambda function:\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/ROIAlign_cpu.cpp:242:41:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[Kat::DeprecatedTypeProperties& at::Tensor::type() const\u001b[m\u001b[K’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   AT_DISPATCH_FLOATING_TYPES(input.type(\u001b[01;35m\u001b[K)\u001b[m\u001b[K, \"ROIAlign_forward\", [&] {\n",
            "                                         \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Dispatch.h:116:28:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin definition of macro ‘\u001b[01m\u001b[KAT_DISPATCH_FLOATING_TYPES\u001b[m\u001b[K’\n",
            "     const auto& the_type = \u001b[01;36m\u001b[KTYPE\u001b[m\u001b[K;                                             \\\n",
            "                            \u001b[01;36m\u001b[K^~~~\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Tensor.h:11:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Context.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:5\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/vision.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/ROIAlign_cpu.cpp:2\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:262:30:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "   DeprecatedTypeProperties & \u001b[01;36m\u001b[Ktype\u001b[m\u001b[K() const {\n",
            "                              \u001b[01;36m\u001b[K^~~~\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:9:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/vision.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/ROIAlign_cpu.cpp:2\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Dispatch.h:118:56:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[Kc10::ScalarType detail::scalar_type(const at::DeprecatedTypeProperties&)\u001b[m\u001b[K’ is deprecated: passing at::DeprecatedTypeProperties to an AT_DISPATCH macro is deprecated, pass an at::ScalarType instead [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "     at::ScalarType _st = ::detail::scalar_type(the_type\u001b[01;35m\u001b[K)\u001b[m\u001b[K;                    \\\n",
            "                                                        \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/ROIAlign_cpu.cpp:242:3:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin expansion of macro ‘\u001b[01m\u001b[KAT_DISPATCH_FLOATING_TYPES\u001b[m\u001b[K’\n",
            "   \u001b[01;36m\u001b[KA\u001b[m\u001b[KT_DISPATCH_FLOATING_TYPES(input.type(), \"ROIAlign_forward\", [&] {\n",
            "   \u001b[01;36m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Dispatch.h:46:23:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            " inline at::ScalarType \u001b[01;36m\u001b[Kscalar_type\u001b[m\u001b[K(const at::DeprecatedTypeProperties &t) {\n",
            "                       \u001b[01;36m\u001b[K^~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/ROIAlign_cpu.cpp:\u001b[m\u001b[K In lambda function:\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/ROIAlign_cpu.cpp:245:31:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = double]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "          input.data<scalar_t>(\u001b[01;35m\u001b[K)\u001b[m\u001b[K,\n",
            "                               \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Dispatch.h:12:12:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin definition of macro ‘\u001b[01m\u001b[KAT_PRIVATE_CASE_TYPE\u001b[m\u001b[K’\n",
            "     return \u001b[01;36m\u001b[K__VA_ARGS__\u001b[m\u001b[K();                          \\\n",
            "            \u001b[01;36m\u001b[K^~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/ROIAlign_cpu.cpp:242:3:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin expansion of macro ‘\u001b[01m\u001b[KAT_DISPATCH_FLOATING_TYPES\u001b[m\u001b[K’\n",
            "   \u001b[01;36m\u001b[KA\u001b[m\u001b[KT_DISPATCH_FLOATING_TYPES(input.type(), \"ROIAlign_forward\", [&] {\n",
            "   \u001b[01;36m\u001b[K^\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Tensor.h:11:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Context.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:5\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/vision.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/ROIAlign_cpu.cpp:2\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:341:7:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "   T * \u001b[01;36m\u001b[Kdata\u001b[m\u001b[K() const {\n",
            "       \u001b[01;36m\u001b[K^~~~\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:9:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/vision.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/ROIAlign_cpu.cpp:2\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/ROIAlign_cpu.cpp:253:30:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = double]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "          rois.data<scalar_t>(\u001b[01;35m\u001b[K)\u001b[m\u001b[K,\n",
            "                              \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Dispatch.h:12:12:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin definition of macro ‘\u001b[01m\u001b[KAT_PRIVATE_CASE_TYPE\u001b[m\u001b[K’\n",
            "     return \u001b[01;36m\u001b[K__VA_ARGS__\u001b[m\u001b[K();                          \\\n",
            "            \u001b[01;36m\u001b[K^~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/ROIAlign_cpu.cpp:242:3:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin expansion of macro ‘\u001b[01m\u001b[KAT_DISPATCH_FLOATING_TYPES\u001b[m\u001b[K’\n",
            "   \u001b[01;36m\u001b[KA\u001b[m\u001b[KT_DISPATCH_FLOATING_TYPES(input.type(), \"ROIAlign_forward\", [&] {\n",
            "   \u001b[01;36m\u001b[K^\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Tensor.h:11:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Context.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:5\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/vision.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/ROIAlign_cpu.cpp:2\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:341:7:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "   T * \u001b[01;36m\u001b[Kdata\u001b[m\u001b[K() const {\n",
            "       \u001b[01;36m\u001b[K^~~~\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:9:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/vision.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/ROIAlign_cpu.cpp:2\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/ROIAlign_cpu.cpp:254:32:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = double]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "          output.data<scalar_t>(\u001b[01;35m\u001b[K)\u001b[m\u001b[K);\n",
            "                                \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Dispatch.h:12:12:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin definition of macro ‘\u001b[01m\u001b[KAT_PRIVATE_CASE_TYPE\u001b[m\u001b[K’\n",
            "     return \u001b[01;36m\u001b[K__VA_ARGS__\u001b[m\u001b[K();                          \\\n",
            "            \u001b[01;36m\u001b[K^~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/ROIAlign_cpu.cpp:242:3:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin expansion of macro ‘\u001b[01m\u001b[KAT_DISPATCH_FLOATING_TYPES\u001b[m\u001b[K’\n",
            "   \u001b[01;36m\u001b[KA\u001b[m\u001b[KT_DISPATCH_FLOATING_TYPES(input.type(), \"ROIAlign_forward\", [&] {\n",
            "   \u001b[01;36m\u001b[K^\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Tensor.h:11:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Context.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:5\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/vision.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/ROIAlign_cpu.cpp:2\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:341:7:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "   T * \u001b[01;36m\u001b[Kdata\u001b[m\u001b[K() const {\n",
            "       \u001b[01;36m\u001b[K^~~~\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:9:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/vision.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/ROIAlign_cpu.cpp:2\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/ROIAlign_cpu.cpp:\u001b[m\u001b[K In lambda function:\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/ROIAlign_cpu.cpp:245:31:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = float]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "          input.data<scalar_t>(\u001b[01;35m\u001b[K)\u001b[m\u001b[K,\n",
            "                               \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Dispatch.h:12:12:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin definition of macro ‘\u001b[01m\u001b[KAT_PRIVATE_CASE_TYPE\u001b[m\u001b[K’\n",
            "     return \u001b[01;36m\u001b[K__VA_ARGS__\u001b[m\u001b[K();                          \\\n",
            "            \u001b[01;36m\u001b[K^~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/ROIAlign_cpu.cpp:242:3:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin expansion of macro ‘\u001b[01m\u001b[KAT_DISPATCH_FLOATING_TYPES\u001b[m\u001b[K’\n",
            "   \u001b[01;36m\u001b[KA\u001b[m\u001b[KT_DISPATCH_FLOATING_TYPES(input.type(), \"ROIAlign_forward\", [&] {\n",
            "   \u001b[01;36m\u001b[K^\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Tensor.h:11:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Context.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:5\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/vision.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/ROIAlign_cpu.cpp:2\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:341:7:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "   T * \u001b[01;36m\u001b[Kdata\u001b[m\u001b[K() const {\n",
            "       \u001b[01;36m\u001b[K^~~~\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:9:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/vision.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/ROIAlign_cpu.cpp:2\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/ROIAlign_cpu.cpp:253:30:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = float]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "          rois.data<scalar_t>(\u001b[01;35m\u001b[K)\u001b[m\u001b[K,\n",
            "                              \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Dispatch.h:12:12:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin definition of macro ‘\u001b[01m\u001b[KAT_PRIVATE_CASE_TYPE\u001b[m\u001b[K’\n",
            "     return \u001b[01;36m\u001b[K__VA_ARGS__\u001b[m\u001b[K();                          \\\n",
            "            \u001b[01;36m\u001b[K^~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/ROIAlign_cpu.cpp:242:3:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin expansion of macro ‘\u001b[01m\u001b[KAT_DISPATCH_FLOATING_TYPES\u001b[m\u001b[K’\n",
            "   \u001b[01;36m\u001b[KA\u001b[m\u001b[KT_DISPATCH_FLOATING_TYPES(input.type(), \"ROIAlign_forward\", [&] {\n",
            "   \u001b[01;36m\u001b[K^\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Tensor.h:11:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Context.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:5\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/vision.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/ROIAlign_cpu.cpp:2\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:341:7:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "   T * \u001b[01;36m\u001b[Kdata\u001b[m\u001b[K() const {\n",
            "       \u001b[01;36m\u001b[K^~~~\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:9:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/vision.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/ROIAlign_cpu.cpp:2\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/ROIAlign_cpu.cpp:254:32:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = float]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "          output.data<scalar_t>(\u001b[01;35m\u001b[K)\u001b[m\u001b[K);\n",
            "                                \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Dispatch.h:12:12:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin definition of macro ‘\u001b[01m\u001b[KAT_PRIVATE_CASE_TYPE\u001b[m\u001b[K’\n",
            "     return \u001b[01;36m\u001b[K__VA_ARGS__\u001b[m\u001b[K();                          \\\n",
            "            \u001b[01;36m\u001b[K^~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/ROIAlign_cpu.cpp:242:3:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin expansion of macro ‘\u001b[01m\u001b[KAT_DISPATCH_FLOATING_TYPES\u001b[m\u001b[K’\n",
            "   \u001b[01;36m\u001b[KA\u001b[m\u001b[KT_DISPATCH_FLOATING_TYPES(input.type(), \"ROIAlign_forward\", [&] {\n",
            "   \u001b[01;36m\u001b[K^\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Tensor.h:11:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Context.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:5\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/vision.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/ROIAlign_cpu.cpp:2\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:341:7:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "   T * \u001b[01;36m\u001b[Kdata\u001b[m\u001b[K() const {\n",
            "       \u001b[01;36m\u001b[K^~~~\u001b[m\u001b[K\n",
            "x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DWITH_CUDA -I/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc -I/usr/local/lib/python3.6/dist-packages/torch/include -I/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include -I/usr/local/lib/python3.6/dist-packages/torch/include/TH -I/usr/local/lib/python3.6/dist-packages/torch/include/THC -I/usr/local/cuda/include -I/usr/include/python3.6m -c /content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp -o build/temp.linux-x86_64-3.6/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.o -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=_C -D_GLIBCXX_USE_CXX11_ABI=0 -std=c++14\n",
            "In file included from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:9:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/vision.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:2\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:\u001b[m\u001b[K In lambda function:\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:71:40:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[Kat::DeprecatedTypeProperties& at::Tensor::type() const\u001b[m\u001b[K’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   AT_DISPATCH_FLOATING_TYPES(dets.type(\u001b[01;35m\u001b[K)\u001b[m\u001b[K, \"nms\", [&] {\n",
            "                                        \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Dispatch.h:116:28:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin definition of macro ‘\u001b[01m\u001b[KAT_DISPATCH_FLOATING_TYPES\u001b[m\u001b[K’\n",
            "     const auto& the_type = \u001b[01;36m\u001b[KTYPE\u001b[m\u001b[K;                                             \\\n",
            "                            \u001b[01;36m\u001b[K^~~~\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Tensor.h:11:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Context.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:5\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/vision.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:2\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:262:30:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "   DeprecatedTypeProperties & \u001b[01;36m\u001b[Ktype\u001b[m\u001b[K() const {\n",
            "                              \u001b[01;36m\u001b[K^~~~\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:9:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/vision.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:2\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Dispatch.h:118:56:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[Kc10::ScalarType detail::scalar_type(const at::DeprecatedTypeProperties&)\u001b[m\u001b[K’ is deprecated: passing at::DeprecatedTypeProperties to an AT_DISPATCH macro is deprecated, pass an at::ScalarType instead [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "     at::ScalarType _st = ::detail::scalar_type(the_type\u001b[01;35m\u001b[K)\u001b[m\u001b[K;                    \\\n",
            "                                                        \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:71:3:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin expansion of macro ‘\u001b[01m\u001b[KAT_DISPATCH_FLOATING_TYPES\u001b[m\u001b[K’\n",
            "   \u001b[01;36m\u001b[KA\u001b[m\u001b[KT_DISPATCH_FLOATING_TYPES(dets.type(), \"nms\", [&] {\n",
            "   \u001b[01;36m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Dispatch.h:46:23:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            " inline at::ScalarType \u001b[01;36m\u001b[Kscalar_type\u001b[m\u001b[K(const at::DeprecatedTypeProperties &t) {\n",
            "                       \u001b[01;36m\u001b[K^~~~~~~~~~~\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/core/Device.h:5:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/core/Allocator.h:6\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/vision.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:2\u001b[m\u001b[K:\n",
            "/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp: In instantiation of ‘\u001b[01m\u001b[Kat::Tensor nms_cpu_kernel(const at::Tensor&, const at::Tensor&, float) [with scalar_t = double]\u001b[m\u001b[K’:\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:71:3:\u001b[m\u001b[K   required from here\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:9:24:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[Kat::DeprecatedTypeProperties& at::Tensor::type() const\u001b[m\u001b[K’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   AT_ASSERTM(!\u001b[01;35m\u001b[Kdets.type()\u001b[m\u001b[K.is_cuda(), \"dets must be a CPU tensor\");\n",
            "               \u001b[01;35m\u001b[K~~~~~~~~~^~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:164:39:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin definition of macro ‘\u001b[01m\u001b[KC10_EXPAND_MSVC_WORKAROUND\u001b[m\u001b[K’\n",
            " #define C10_EXPAND_MSVC_WORKAROUND(x) \u001b[01;36m\u001b[Kx\u001b[m\u001b[K\n",
            "                                       \u001b[01;36m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:183:34:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin expansion of macro ‘\u001b[01m\u001b[KC10_UNLIKELY\u001b[m\u001b[K’\n",
            " #define C10_UNLIKELY_OR_CONST(e) \u001b[01;36m\u001b[KC10_UNLIKELY\u001b[m\u001b[K(e)\n",
            "                                  \u001b[01;36m\u001b[K^~~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:220:7:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin expansion of macro ‘\u001b[01m\u001b[KC10_UNLIKELY_OR_CONST\u001b[m\u001b[K’\n",
            "   if (\u001b[01;36m\u001b[KC10_UNLIKELY_OR_CONST\u001b[m\u001b[K(!(cond))) {       \\\n",
            "       \u001b[01;36m\u001b[K^~~~~~~~~~~~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:410:32:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin expansion of macro ‘\u001b[01m\u001b[KTORCH_INTERNAL_ASSERT\u001b[m\u001b[K’\n",
            "     C10_EXPAND_MSVC_WORKAROUND(\u001b[01;36m\u001b[KTORCH_INTERNAL_ASSERT\u001b[m\u001b[K(cond, __VA_ARGS__));     \\\n",
            "                                \u001b[01;36m\u001b[K^~~~~~~~~~~~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:9:3:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin expansion of macro ‘\u001b[01m\u001b[KAT_ASSERTM\u001b[m\u001b[K’\n",
            "   \u001b[01;36m\u001b[KA\u001b[m\u001b[KT_ASSERTM(!dets.type().is_cuda(), \"dets must be a CPU tensor\");\n",
            "   \u001b[01;36m\u001b[K^\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Tensor.h:11:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Context.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:5\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/vision.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:2\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:262:30:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "   DeprecatedTypeProperties & \u001b[01;36m\u001b[Ktype\u001b[m\u001b[K() const {\n",
            "                              \u001b[01;36m\u001b[K^~~~\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/core/Device.h:5:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/core/Allocator.h:6\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/vision.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:2\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:9:24:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[Kat::DeprecatedTypeProperties& at::Tensor::type() const\u001b[m\u001b[K’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   AT_ASSERTM(!\u001b[01;35m\u001b[Kdets.type()\u001b[m\u001b[K.is_cuda(), \"dets must be a CPU tensor\");\n",
            "               \u001b[01;35m\u001b[K~~~~~~~~~^~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:164:39:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin definition of macro ‘\u001b[01m\u001b[KC10_EXPAND_MSVC_WORKAROUND\u001b[m\u001b[K’\n",
            " #define C10_EXPAND_MSVC_WORKAROUND(x) \u001b[01;36m\u001b[Kx\u001b[m\u001b[K\n",
            "                                       \u001b[01;36m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:183:34:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin expansion of macro ‘\u001b[01m\u001b[KC10_UNLIKELY\u001b[m\u001b[K’\n",
            " #define C10_UNLIKELY_OR_CONST(e) \u001b[01;36m\u001b[KC10_UNLIKELY\u001b[m\u001b[K(e)\n",
            "                                  \u001b[01;36m\u001b[K^~~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:220:7:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin expansion of macro ‘\u001b[01m\u001b[KC10_UNLIKELY_OR_CONST\u001b[m\u001b[K’\n",
            "   if (\u001b[01;36m\u001b[KC10_UNLIKELY_OR_CONST\u001b[m\u001b[K(!(cond))) {       \\\n",
            "       \u001b[01;36m\u001b[K^~~~~~~~~~~~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:410:32:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin expansion of macro ‘\u001b[01m\u001b[KTORCH_INTERNAL_ASSERT\u001b[m\u001b[K’\n",
            "     C10_EXPAND_MSVC_WORKAROUND(\u001b[01;36m\u001b[KTORCH_INTERNAL_ASSERT\u001b[m\u001b[K(cond, __VA_ARGS__));     \\\n",
            "                                \u001b[01;36m\u001b[K^~~~~~~~~~~~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:9:3:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin expansion of macro ‘\u001b[01m\u001b[KAT_ASSERTM\u001b[m\u001b[K’\n",
            "   \u001b[01;36m\u001b[KA\u001b[m\u001b[KT_ASSERTM(!dets.type().is_cuda(), \"dets must be a CPU tensor\");\n",
            "   \u001b[01;36m\u001b[K^\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Tensor.h:11:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Context.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:5\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/vision.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:2\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:262:30:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "   DeprecatedTypeProperties & \u001b[01;36m\u001b[Ktype\u001b[m\u001b[K() const {\n",
            "                              \u001b[01;36m\u001b[K^~~~\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/core/Device.h:5:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/core/Allocator.h:6\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/vision.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:2\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:10:26:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[Kat::DeprecatedTypeProperties& at::Tensor::type() const\u001b[m\u001b[K’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   AT_ASSERTM(!\u001b[01;35m\u001b[Kscores.type()\u001b[m\u001b[K.is_cuda(), \"scores must be a CPU tensor\");\n",
            "               \u001b[01;35m\u001b[K~~~~~~~~~~~^~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:164:39:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin definition of macro ‘\u001b[01m\u001b[KC10_EXPAND_MSVC_WORKAROUND\u001b[m\u001b[K’\n",
            " #define C10_EXPAND_MSVC_WORKAROUND(x) \u001b[01;36m\u001b[Kx\u001b[m\u001b[K\n",
            "                                       \u001b[01;36m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:183:34:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin expansion of macro ‘\u001b[01m\u001b[KC10_UNLIKELY\u001b[m\u001b[K’\n",
            " #define C10_UNLIKELY_OR_CONST(e) \u001b[01;36m\u001b[KC10_UNLIKELY\u001b[m\u001b[K(e)\n",
            "                                  \u001b[01;36m\u001b[K^~~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:220:7:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin expansion of macro ‘\u001b[01m\u001b[KC10_UNLIKELY_OR_CONST\u001b[m\u001b[K’\n",
            "   if (\u001b[01;36m\u001b[KC10_UNLIKELY_OR_CONST\u001b[m\u001b[K(!(cond))) {       \\\n",
            "       \u001b[01;36m\u001b[K^~~~~~~~~~~~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:410:32:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin expansion of macro ‘\u001b[01m\u001b[KTORCH_INTERNAL_ASSERT\u001b[m\u001b[K’\n",
            "     C10_EXPAND_MSVC_WORKAROUND(\u001b[01;36m\u001b[KTORCH_INTERNAL_ASSERT\u001b[m\u001b[K(cond, __VA_ARGS__));     \\\n",
            "                                \u001b[01;36m\u001b[K^~~~~~~~~~~~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:10:3:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin expansion of macro ‘\u001b[01m\u001b[KAT_ASSERTM\u001b[m\u001b[K’\n",
            "   \u001b[01;36m\u001b[KA\u001b[m\u001b[KT_ASSERTM(!scores.type().is_cuda(), \"scores must be a CPU tensor\");\n",
            "   \u001b[01;36m\u001b[K^\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Tensor.h:11:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Context.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:5\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/vision.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:2\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:262:30:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "   DeprecatedTypeProperties & \u001b[01;36m\u001b[Ktype\u001b[m\u001b[K() const {\n",
            "                              \u001b[01;36m\u001b[K^~~~\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/core/Device.h:5:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/core/Allocator.h:6\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/vision.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:2\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:10:26:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[Kat::DeprecatedTypeProperties& at::Tensor::type() const\u001b[m\u001b[K’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   AT_ASSERTM(!\u001b[01;35m\u001b[Kscores.type()\u001b[m\u001b[K.is_cuda(), \"scores must be a CPU tensor\");\n",
            "               \u001b[01;35m\u001b[K~~~~~~~~~~~^~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:164:39:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin definition of macro ‘\u001b[01m\u001b[KC10_EXPAND_MSVC_WORKAROUND\u001b[m\u001b[K’\n",
            " #define C10_EXPAND_MSVC_WORKAROUND(x) \u001b[01;36m\u001b[Kx\u001b[m\u001b[K\n",
            "                                       \u001b[01;36m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:183:34:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin expansion of macro ‘\u001b[01m\u001b[KC10_UNLIKELY\u001b[m\u001b[K’\n",
            " #define C10_UNLIKELY_OR_CONST(e) \u001b[01;36m\u001b[KC10_UNLIKELY\u001b[m\u001b[K(e)\n",
            "                                  \u001b[01;36m\u001b[K^~~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:220:7:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin expansion of macro ‘\u001b[01m\u001b[KC10_UNLIKELY_OR_CONST\u001b[m\u001b[K’\n",
            "   if (\u001b[01;36m\u001b[KC10_UNLIKELY_OR_CONST\u001b[m\u001b[K(!(cond))) {       \\\n",
            "       \u001b[01;36m\u001b[K^~~~~~~~~~~~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:410:32:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin expansion of macro ‘\u001b[01m\u001b[KTORCH_INTERNAL_ASSERT\u001b[m\u001b[K’\n",
            "     C10_EXPAND_MSVC_WORKAROUND(\u001b[01;36m\u001b[KTORCH_INTERNAL_ASSERT\u001b[m\u001b[K(cond, __VA_ARGS__));     \\\n",
            "                                \u001b[01;36m\u001b[K^~~~~~~~~~~~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:10:3:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin expansion of macro ‘\u001b[01m\u001b[KAT_ASSERTM\u001b[m\u001b[K’\n",
            "   \u001b[01;36m\u001b[KA\u001b[m\u001b[KT_ASSERTM(!scores.type().is_cuda(), \"scores must be a CPU tensor\");\n",
            "   \u001b[01;36m\u001b[K^\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Tensor.h:11:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Context.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:5\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/vision.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:2\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:262:30:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "   DeprecatedTypeProperties & \u001b[01;36m\u001b[Ktype\u001b[m\u001b[K() const {\n",
            "                              \u001b[01;36m\u001b[K^~~~\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/core/Device.h:5:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/core/Allocator.h:6\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/vision.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:2\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:11:23:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[Kat::DeprecatedTypeProperties& at::Tensor::type() const\u001b[m\u001b[K’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   AT_ASSERTM(\u001b[01;35m\u001b[Kdets.type()\u001b[m\u001b[K == scores.type(), \"dets should have the same type as scores\");\n",
            "              \u001b[01;35m\u001b[K~~~~~~~~~^~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:164:39:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin definition of macro ‘\u001b[01m\u001b[KC10_EXPAND_MSVC_WORKAROUND\u001b[m\u001b[K’\n",
            " #define C10_EXPAND_MSVC_WORKAROUND(x) \u001b[01;36m\u001b[Kx\u001b[m\u001b[K\n",
            "                                       \u001b[01;36m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:183:34:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin expansion of macro ‘\u001b[01m\u001b[KC10_UNLIKELY\u001b[m\u001b[K’\n",
            " #define C10_UNLIKELY_OR_CONST(e) \u001b[01;36m\u001b[KC10_UNLIKELY\u001b[m\u001b[K(e)\n",
            "                                  \u001b[01;36m\u001b[K^~~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:220:7:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin expansion of macro ‘\u001b[01m\u001b[KC10_UNLIKELY_OR_CONST\u001b[m\u001b[K’\n",
            "   if (\u001b[01;36m\u001b[KC10_UNLIKELY_OR_CONST\u001b[m\u001b[K(!(cond))) {       \\\n",
            "       \u001b[01;36m\u001b[K^~~~~~~~~~~~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:410:32:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin expansion of macro ‘\u001b[01m\u001b[KTORCH_INTERNAL_ASSERT\u001b[m\u001b[K’\n",
            "     C10_EXPAND_MSVC_WORKAROUND(\u001b[01;36m\u001b[KTORCH_INTERNAL_ASSERT\u001b[m\u001b[K(cond, __VA_ARGS__));     \\\n",
            "                                \u001b[01;36m\u001b[K^~~~~~~~~~~~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:11:3:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin expansion of macro ‘\u001b[01m\u001b[KAT_ASSERTM\u001b[m\u001b[K’\n",
            "   \u001b[01;36m\u001b[KA\u001b[m\u001b[KT_ASSERTM(dets.type() == scores.type(), \"dets should have the same type as scores\");\n",
            "   \u001b[01;36m\u001b[K^\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Tensor.h:11:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Context.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:5\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/vision.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:2\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:262:30:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "   DeprecatedTypeProperties & \u001b[01;36m\u001b[Ktype\u001b[m\u001b[K() const {\n",
            "                              \u001b[01;36m\u001b[K^~~~\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/core/Device.h:5:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/core/Allocator.h:6\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/vision.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:2\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:11:23:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[Kat::DeprecatedTypeProperties& at::Tensor::type() const\u001b[m\u001b[K’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   AT_ASSERTM(\u001b[01;35m\u001b[Kdets.type()\u001b[m\u001b[K == scores.type(), \"dets should have the same type as scores\");\n",
            "              \u001b[01;35m\u001b[K~~~~~~~~~^~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:164:39:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin definition of macro ‘\u001b[01m\u001b[KC10_EXPAND_MSVC_WORKAROUND\u001b[m\u001b[K’\n",
            " #define C10_EXPAND_MSVC_WORKAROUND(x) \u001b[01;36m\u001b[Kx\u001b[m\u001b[K\n",
            "                                       \u001b[01;36m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:183:34:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin expansion of macro ‘\u001b[01m\u001b[KC10_UNLIKELY\u001b[m\u001b[K’\n",
            " #define C10_UNLIKELY_OR_CONST(e) \u001b[01;36m\u001b[KC10_UNLIKELY\u001b[m\u001b[K(e)\n",
            "                                  \u001b[01;36m\u001b[K^~~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:220:7:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin expansion of macro ‘\u001b[01m\u001b[KC10_UNLIKELY_OR_CONST\u001b[m\u001b[K’\n",
            "   if (\u001b[01;36m\u001b[KC10_UNLIKELY_OR_CONST\u001b[m\u001b[K(!(cond))) {       \\\n",
            "       \u001b[01;36m\u001b[K^~~~~~~~~~~~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:410:32:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin expansion of macro ‘\u001b[01m\u001b[KTORCH_INTERNAL_ASSERT\u001b[m\u001b[K’\n",
            "     C10_EXPAND_MSVC_WORKAROUND(\u001b[01;36m\u001b[KTORCH_INTERNAL_ASSERT\u001b[m\u001b[K(cond, __VA_ARGS__));     \\\n",
            "                                \u001b[01;36m\u001b[K^~~~~~~~~~~~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:11:3:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin expansion of macro ‘\u001b[01m\u001b[KAT_ASSERTM\u001b[m\u001b[K’\n",
            "   \u001b[01;36m\u001b[KA\u001b[m\u001b[KT_ASSERTM(dets.type() == scores.type(), \"dets should have the same type as scores\");\n",
            "   \u001b[01;36m\u001b[K^\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Tensor.h:11:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Context.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:5\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/vision.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:2\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:262:30:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "   DeprecatedTypeProperties & \u001b[01;36m\u001b[Ktype\u001b[m\u001b[K() const {\n",
            "                              \u001b[01;36m\u001b[K^~~~\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/core/Device.h:5:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/core/Allocator.h:6\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/vision.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:2\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:11:40:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[Kat::DeprecatedTypeProperties& at::Tensor::type() const\u001b[m\u001b[K’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   AT_ASSERTM(dets.type() == \u001b[01;35m\u001b[Kscores.type()\u001b[m\u001b[K, \"dets should have the same type as scores\");\n",
            "                             \u001b[01;35m\u001b[K~~~~~~~~~~~^~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:164:39:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin definition of macro ‘\u001b[01m\u001b[KC10_EXPAND_MSVC_WORKAROUND\u001b[m\u001b[K’\n",
            " #define C10_EXPAND_MSVC_WORKAROUND(x) \u001b[01;36m\u001b[Kx\u001b[m\u001b[K\n",
            "                                       \u001b[01;36m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:183:34:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin expansion of macro ‘\u001b[01m\u001b[KC10_UNLIKELY\u001b[m\u001b[K’\n",
            " #define C10_UNLIKELY_OR_CONST(e) \u001b[01;36m\u001b[KC10_UNLIKELY\u001b[m\u001b[K(e)\n",
            "                                  \u001b[01;36m\u001b[K^~~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:220:7:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin expansion of macro ‘\u001b[01m\u001b[KC10_UNLIKELY_OR_CONST\u001b[m\u001b[K’\n",
            "   if (\u001b[01;36m\u001b[KC10_UNLIKELY_OR_CONST\u001b[m\u001b[K(!(cond))) {       \\\n",
            "       \u001b[01;36m\u001b[K^~~~~~~~~~~~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:410:32:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin expansion of macro ‘\u001b[01m\u001b[KTORCH_INTERNAL_ASSERT\u001b[m\u001b[K’\n",
            "     C10_EXPAND_MSVC_WORKAROUND(\u001b[01;36m\u001b[KTORCH_INTERNAL_ASSERT\u001b[m\u001b[K(cond, __VA_ARGS__));     \\\n",
            "                                \u001b[01;36m\u001b[K^~~~~~~~~~~~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:11:3:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin expansion of macro ‘\u001b[01m\u001b[KAT_ASSERTM\u001b[m\u001b[K’\n",
            "   \u001b[01;36m\u001b[KA\u001b[m\u001b[KT_ASSERTM(dets.type() == scores.type(), \"dets should have the same type as scores\");\n",
            "   \u001b[01;36m\u001b[K^\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Tensor.h:11:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Context.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:5\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/vision.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:2\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:262:30:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "   DeprecatedTypeProperties & \u001b[01;36m\u001b[Ktype\u001b[m\u001b[K() const {\n",
            "                              \u001b[01;36m\u001b[K^~~~\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/core/Device.h:5:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/core/Allocator.h:6\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/vision.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:2\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:11:40:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[Kat::DeprecatedTypeProperties& at::Tensor::type() const\u001b[m\u001b[K’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   AT_ASSERTM(dets.type() == \u001b[01;35m\u001b[Kscores.type()\u001b[m\u001b[K, \"dets should have the same type as scores\");\n",
            "                             \u001b[01;35m\u001b[K~~~~~~~~~~~^~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:164:39:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin definition of macro ‘\u001b[01m\u001b[KC10_EXPAND_MSVC_WORKAROUND\u001b[m\u001b[K’\n",
            " #define C10_EXPAND_MSVC_WORKAROUND(x) \u001b[01;36m\u001b[Kx\u001b[m\u001b[K\n",
            "                                       \u001b[01;36m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:183:34:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin expansion of macro ‘\u001b[01m\u001b[KC10_UNLIKELY\u001b[m\u001b[K’\n",
            " #define C10_UNLIKELY_OR_CONST(e) \u001b[01;36m\u001b[KC10_UNLIKELY\u001b[m\u001b[K(e)\n",
            "                                  \u001b[01;36m\u001b[K^~~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:220:7:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin expansion of macro ‘\u001b[01m\u001b[KC10_UNLIKELY_OR_CONST\u001b[m\u001b[K’\n",
            "   if (\u001b[01;36m\u001b[KC10_UNLIKELY_OR_CONST\u001b[m\u001b[K(!(cond))) {       \\\n",
            "       \u001b[01;36m\u001b[K^~~~~~~~~~~~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:410:32:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin expansion of macro ‘\u001b[01m\u001b[KTORCH_INTERNAL_ASSERT\u001b[m\u001b[K’\n",
            "     C10_EXPAND_MSVC_WORKAROUND(\u001b[01;36m\u001b[KTORCH_INTERNAL_ASSERT\u001b[m\u001b[K(cond, __VA_ARGS__));     \\\n",
            "                                \u001b[01;36m\u001b[K^~~~~~~~~~~~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:11:3:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin expansion of macro ‘\u001b[01m\u001b[KAT_ASSERTM\u001b[m\u001b[K’\n",
            "   \u001b[01;36m\u001b[KA\u001b[m\u001b[KT_ASSERTM(dets.type() == scores.type(), \"dets should have the same type as scores\");\n",
            "   \u001b[01;36m\u001b[K^\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Tensor.h:11:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Context.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:5\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/vision.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:2\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:262:30:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "   DeprecatedTypeProperties & \u001b[01;36m\u001b[Ktype\u001b[m\u001b[K() const {\n",
            "                              \u001b[01;36m\u001b[K^~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:29:47:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = unsigned char]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   auto suppressed = \u001b[01;35m\u001b[Ksuppressed_t.data<uint8_t>()\u001b[m\u001b[K;\n",
            "                     \u001b[01;35m\u001b[K~~~~~~~~~~~~~~~~~~~~~~~~~~^~\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Tensor.h:11:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Context.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:5\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/vision.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:2\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:341:7:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "   T * \u001b[01;36m\u001b[Kdata\u001b[m\u001b[K() const {\n",
            "       \u001b[01;36m\u001b[K^~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:30:37:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = long int]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   auto order = \u001b[01;35m\u001b[Korder_t.data<int64_t>()\u001b[m\u001b[K;\n",
            "                \u001b[01;35m\u001b[K~~~~~~~~~~~~~~~~~~~~~^~\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Tensor.h:11:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Context.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:5\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/vision.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:2\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:341:7:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "   T * \u001b[01;36m\u001b[Kdata\u001b[m\u001b[K() const {\n",
            "       \u001b[01;36m\u001b[K^~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:31:8:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = double]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   auto \u001b[01;35m\u001b[Kx1\u001b[m\u001b[K = x1_t.data<scalar_t>();\n",
            "        \u001b[01;35m\u001b[K^~\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Tensor.h:11:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Context.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:5\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/vision.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:2\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:341:7:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "   T * \u001b[01;36m\u001b[Kdata\u001b[m\u001b[K() const {\n",
            "       \u001b[01;36m\u001b[K^~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:32:8:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = double]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   auto \u001b[01;35m\u001b[Ky1\u001b[m\u001b[K = y1_t.data<scalar_t>();\n",
            "        \u001b[01;35m\u001b[K^~\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Tensor.h:11:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Context.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:5\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/vision.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:2\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:341:7:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "   T * \u001b[01;36m\u001b[Kdata\u001b[m\u001b[K() const {\n",
            "       \u001b[01;36m\u001b[K^~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:33:8:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = double]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   auto \u001b[01;35m\u001b[Kx2\u001b[m\u001b[K = x2_t.data<scalar_t>();\n",
            "        \u001b[01;35m\u001b[K^~\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Tensor.h:11:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Context.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:5\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/vision.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:2\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:341:7:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "   T * \u001b[01;36m\u001b[Kdata\u001b[m\u001b[K() const {\n",
            "       \u001b[01;36m\u001b[K^~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:34:8:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = double]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   auto \u001b[01;35m\u001b[Ky2\u001b[m\u001b[K = y2_t.data<scalar_t>();\n",
            "        \u001b[01;35m\u001b[K^~\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Tensor.h:11:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Context.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:5\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/vision.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:2\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:341:7:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "   T * \u001b[01;36m\u001b[Kdata\u001b[m\u001b[K() const {\n",
            "       \u001b[01;36m\u001b[K^~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:35:8:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = double]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   auto \u001b[01;35m\u001b[Kareas\u001b[m\u001b[K = areas_t.data<scalar_t>();\n",
            "        \u001b[01;35m\u001b[K^~~~~\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Tensor.h:11:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Context.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:5\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/vision.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:2\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:341:7:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "   T * \u001b[01;36m\u001b[Kdata\u001b[m\u001b[K() const {\n",
            "       \u001b[01;36m\u001b[K^~~~\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/core/Device.h:5:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/core/Allocator.h:6\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/vision.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:2\u001b[m\u001b[K:\n",
            "/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp: In instantiation of ‘\u001b[01m\u001b[Kat::Tensor nms_cpu_kernel(const at::Tensor&, const at::Tensor&, float) [with scalar_t = float]\u001b[m\u001b[K’:\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:71:3:\u001b[m\u001b[K   required from here\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:9:24:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[Kat::DeprecatedTypeProperties& at::Tensor::type() const\u001b[m\u001b[K’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   AT_ASSERTM(!\u001b[01;35m\u001b[Kdets.type()\u001b[m\u001b[K.is_cuda(), \"dets must be a CPU tensor\");\n",
            "               \u001b[01;35m\u001b[K~~~~~~~~~^~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:164:39:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin definition of macro ‘\u001b[01m\u001b[KC10_EXPAND_MSVC_WORKAROUND\u001b[m\u001b[K’\n",
            " #define C10_EXPAND_MSVC_WORKAROUND(x) \u001b[01;36m\u001b[Kx\u001b[m\u001b[K\n",
            "                                       \u001b[01;36m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:183:34:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin expansion of macro ‘\u001b[01m\u001b[KC10_UNLIKELY\u001b[m\u001b[K’\n",
            " #define C10_UNLIKELY_OR_CONST(e) \u001b[01;36m\u001b[KC10_UNLIKELY\u001b[m\u001b[K(e)\n",
            "                                  \u001b[01;36m\u001b[K^~~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:220:7:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin expansion of macro ‘\u001b[01m\u001b[KC10_UNLIKELY_OR_CONST\u001b[m\u001b[K’\n",
            "   if (\u001b[01;36m\u001b[KC10_UNLIKELY_OR_CONST\u001b[m\u001b[K(!(cond))) {       \\\n",
            "       \u001b[01;36m\u001b[K^~~~~~~~~~~~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:410:32:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin expansion of macro ‘\u001b[01m\u001b[KTORCH_INTERNAL_ASSERT\u001b[m\u001b[K’\n",
            "     C10_EXPAND_MSVC_WORKAROUND(\u001b[01;36m\u001b[KTORCH_INTERNAL_ASSERT\u001b[m\u001b[K(cond, __VA_ARGS__));     \\\n",
            "                                \u001b[01;36m\u001b[K^~~~~~~~~~~~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:9:3:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin expansion of macro ‘\u001b[01m\u001b[KAT_ASSERTM\u001b[m\u001b[K’\n",
            "   \u001b[01;36m\u001b[KA\u001b[m\u001b[KT_ASSERTM(!dets.type().is_cuda(), \"dets must be a CPU tensor\");\n",
            "   \u001b[01;36m\u001b[K^\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Tensor.h:11:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Context.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:5\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/vision.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:2\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:262:30:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "   DeprecatedTypeProperties & \u001b[01;36m\u001b[Ktype\u001b[m\u001b[K() const {\n",
            "                              \u001b[01;36m\u001b[K^~~~\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/core/Device.h:5:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/core/Allocator.h:6\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/vision.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:2\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:9:24:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[Kat::DeprecatedTypeProperties& at::Tensor::type() const\u001b[m\u001b[K’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   AT_ASSERTM(!\u001b[01;35m\u001b[Kdets.type()\u001b[m\u001b[K.is_cuda(), \"dets must be a CPU tensor\");\n",
            "               \u001b[01;35m\u001b[K~~~~~~~~~^~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:164:39:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin definition of macro ‘\u001b[01m\u001b[KC10_EXPAND_MSVC_WORKAROUND\u001b[m\u001b[K’\n",
            " #define C10_EXPAND_MSVC_WORKAROUND(x) \u001b[01;36m\u001b[Kx\u001b[m\u001b[K\n",
            "                                       \u001b[01;36m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:183:34:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin expansion of macro ‘\u001b[01m\u001b[KC10_UNLIKELY\u001b[m\u001b[K’\n",
            " #define C10_UNLIKELY_OR_CONST(e) \u001b[01;36m\u001b[KC10_UNLIKELY\u001b[m\u001b[K(e)\n",
            "                                  \u001b[01;36m\u001b[K^~~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:220:7:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin expansion of macro ‘\u001b[01m\u001b[KC10_UNLIKELY_OR_CONST\u001b[m\u001b[K’\n",
            "   if (\u001b[01;36m\u001b[KC10_UNLIKELY_OR_CONST\u001b[m\u001b[K(!(cond))) {       \\\n",
            "       \u001b[01;36m\u001b[K^~~~~~~~~~~~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:410:32:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin expansion of macro ‘\u001b[01m\u001b[KTORCH_INTERNAL_ASSERT\u001b[m\u001b[K’\n",
            "     C10_EXPAND_MSVC_WORKAROUND(\u001b[01;36m\u001b[KTORCH_INTERNAL_ASSERT\u001b[m\u001b[K(cond, __VA_ARGS__));     \\\n",
            "                                \u001b[01;36m\u001b[K^~~~~~~~~~~~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:9:3:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin expansion of macro ‘\u001b[01m\u001b[KAT_ASSERTM\u001b[m\u001b[K’\n",
            "   \u001b[01;36m\u001b[KA\u001b[m\u001b[KT_ASSERTM(!dets.type().is_cuda(), \"dets must be a CPU tensor\");\n",
            "   \u001b[01;36m\u001b[K^\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Tensor.h:11:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Context.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:5\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/vision.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:2\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:262:30:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "   DeprecatedTypeProperties & \u001b[01;36m\u001b[Ktype\u001b[m\u001b[K() const {\n",
            "                              \u001b[01;36m\u001b[K^~~~\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/core/Device.h:5:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/core/Allocator.h:6\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/vision.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:2\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:10:26:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[Kat::DeprecatedTypeProperties& at::Tensor::type() const\u001b[m\u001b[K’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   AT_ASSERTM(!\u001b[01;35m\u001b[Kscores.type()\u001b[m\u001b[K.is_cuda(), \"scores must be a CPU tensor\");\n",
            "               \u001b[01;35m\u001b[K~~~~~~~~~~~^~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:164:39:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin definition of macro ‘\u001b[01m\u001b[KC10_EXPAND_MSVC_WORKAROUND\u001b[m\u001b[K’\n",
            " #define C10_EXPAND_MSVC_WORKAROUND(x) \u001b[01;36m\u001b[Kx\u001b[m\u001b[K\n",
            "                                       \u001b[01;36m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:183:34:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin expansion of macro ‘\u001b[01m\u001b[KC10_UNLIKELY\u001b[m\u001b[K’\n",
            " #define C10_UNLIKELY_OR_CONST(e) \u001b[01;36m\u001b[KC10_UNLIKELY\u001b[m\u001b[K(e)\n",
            "                                  \u001b[01;36m\u001b[K^~~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:220:7:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin expansion of macro ‘\u001b[01m\u001b[KC10_UNLIKELY_OR_CONST\u001b[m\u001b[K’\n",
            "   if (\u001b[01;36m\u001b[KC10_UNLIKELY_OR_CONST\u001b[m\u001b[K(!(cond))) {       \\\n",
            "       \u001b[01;36m\u001b[K^~~~~~~~~~~~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:410:32:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin expansion of macro ‘\u001b[01m\u001b[KTORCH_INTERNAL_ASSERT\u001b[m\u001b[K’\n",
            "     C10_EXPAND_MSVC_WORKAROUND(\u001b[01;36m\u001b[KTORCH_INTERNAL_ASSERT\u001b[m\u001b[K(cond, __VA_ARGS__));     \\\n",
            "                                \u001b[01;36m\u001b[K^~~~~~~~~~~~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:10:3:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin expansion of macro ‘\u001b[01m\u001b[KAT_ASSERTM\u001b[m\u001b[K’\n",
            "   \u001b[01;36m\u001b[KA\u001b[m\u001b[KT_ASSERTM(!scores.type().is_cuda(), \"scores must be a CPU tensor\");\n",
            "   \u001b[01;36m\u001b[K^\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Tensor.h:11:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Context.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:5\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/vision.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:2\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:262:30:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "   DeprecatedTypeProperties & \u001b[01;36m\u001b[Ktype\u001b[m\u001b[K() const {\n",
            "                              \u001b[01;36m\u001b[K^~~~\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/core/Device.h:5:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/core/Allocator.h:6\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/vision.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:2\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:10:26:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[Kat::DeprecatedTypeProperties& at::Tensor::type() const\u001b[m\u001b[K’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   AT_ASSERTM(!\u001b[01;35m\u001b[Kscores.type()\u001b[m\u001b[K.is_cuda(), \"scores must be a CPU tensor\");\n",
            "               \u001b[01;35m\u001b[K~~~~~~~~~~~^~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:164:39:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin definition of macro ‘\u001b[01m\u001b[KC10_EXPAND_MSVC_WORKAROUND\u001b[m\u001b[K’\n",
            " #define C10_EXPAND_MSVC_WORKAROUND(x) \u001b[01;36m\u001b[Kx\u001b[m\u001b[K\n",
            "                                       \u001b[01;36m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:183:34:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin expansion of macro ‘\u001b[01m\u001b[KC10_UNLIKELY\u001b[m\u001b[K’\n",
            " #define C10_UNLIKELY_OR_CONST(e) \u001b[01;36m\u001b[KC10_UNLIKELY\u001b[m\u001b[K(e)\n",
            "                                  \u001b[01;36m\u001b[K^~~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:220:7:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin expansion of macro ‘\u001b[01m\u001b[KC10_UNLIKELY_OR_CONST\u001b[m\u001b[K’\n",
            "   if (\u001b[01;36m\u001b[KC10_UNLIKELY_OR_CONST\u001b[m\u001b[K(!(cond))) {       \\\n",
            "       \u001b[01;36m\u001b[K^~~~~~~~~~~~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:410:32:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin expansion of macro ‘\u001b[01m\u001b[KTORCH_INTERNAL_ASSERT\u001b[m\u001b[K’\n",
            "     C10_EXPAND_MSVC_WORKAROUND(\u001b[01;36m\u001b[KTORCH_INTERNAL_ASSERT\u001b[m\u001b[K(cond, __VA_ARGS__));     \\\n",
            "                                \u001b[01;36m\u001b[K^~~~~~~~~~~~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:10:3:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin expansion of macro ‘\u001b[01m\u001b[KAT_ASSERTM\u001b[m\u001b[K’\n",
            "   \u001b[01;36m\u001b[KA\u001b[m\u001b[KT_ASSERTM(!scores.type().is_cuda(), \"scores must be a CPU tensor\");\n",
            "   \u001b[01;36m\u001b[K^\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Tensor.h:11:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Context.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:5\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/vision.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:2\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:262:30:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "   DeprecatedTypeProperties & \u001b[01;36m\u001b[Ktype\u001b[m\u001b[K() const {\n",
            "                              \u001b[01;36m\u001b[K^~~~\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/core/Device.h:5:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/core/Allocator.h:6\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/vision.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:2\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:11:23:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[Kat::DeprecatedTypeProperties& at::Tensor::type() const\u001b[m\u001b[K’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   AT_ASSERTM(\u001b[01;35m\u001b[Kdets.type()\u001b[m\u001b[K == scores.type(), \"dets should have the same type as scores\");\n",
            "              \u001b[01;35m\u001b[K~~~~~~~~~^~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:164:39:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin definition of macro ‘\u001b[01m\u001b[KC10_EXPAND_MSVC_WORKAROUND\u001b[m\u001b[K’\n",
            " #define C10_EXPAND_MSVC_WORKAROUND(x) \u001b[01;36m\u001b[Kx\u001b[m\u001b[K\n",
            "                                       \u001b[01;36m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:183:34:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin expansion of macro ‘\u001b[01m\u001b[KC10_UNLIKELY\u001b[m\u001b[K’\n",
            " #define C10_UNLIKELY_OR_CONST(e) \u001b[01;36m\u001b[KC10_UNLIKELY\u001b[m\u001b[K(e)\n",
            "                                  \u001b[01;36m\u001b[K^~~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:220:7:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin expansion of macro ‘\u001b[01m\u001b[KC10_UNLIKELY_OR_CONST\u001b[m\u001b[K’\n",
            "   if (\u001b[01;36m\u001b[KC10_UNLIKELY_OR_CONST\u001b[m\u001b[K(!(cond))) {       \\\n",
            "       \u001b[01;36m\u001b[K^~~~~~~~~~~~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:410:32:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin expansion of macro ‘\u001b[01m\u001b[KTORCH_INTERNAL_ASSERT\u001b[m\u001b[K’\n",
            "     C10_EXPAND_MSVC_WORKAROUND(\u001b[01;36m\u001b[KTORCH_INTERNAL_ASSERT\u001b[m\u001b[K(cond, __VA_ARGS__));     \\\n",
            "                                \u001b[01;36m\u001b[K^~~~~~~~~~~~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:11:3:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin expansion of macro ‘\u001b[01m\u001b[KAT_ASSERTM\u001b[m\u001b[K’\n",
            "   \u001b[01;36m\u001b[KA\u001b[m\u001b[KT_ASSERTM(dets.type() == scores.type(), \"dets should have the same type as scores\");\n",
            "   \u001b[01;36m\u001b[K^\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Tensor.h:11:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Context.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:5\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/vision.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:2\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:262:30:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "   DeprecatedTypeProperties & \u001b[01;36m\u001b[Ktype\u001b[m\u001b[K() const {\n",
            "                              \u001b[01;36m\u001b[K^~~~\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/core/Device.h:5:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/core/Allocator.h:6\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/vision.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:2\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:11:23:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[Kat::DeprecatedTypeProperties& at::Tensor::type() const\u001b[m\u001b[K’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   AT_ASSERTM(\u001b[01;35m\u001b[Kdets.type()\u001b[m\u001b[K == scores.type(), \"dets should have the same type as scores\");\n",
            "              \u001b[01;35m\u001b[K~~~~~~~~~^~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:164:39:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin definition of macro ‘\u001b[01m\u001b[KC10_EXPAND_MSVC_WORKAROUND\u001b[m\u001b[K’\n",
            " #define C10_EXPAND_MSVC_WORKAROUND(x) \u001b[01;36m\u001b[Kx\u001b[m\u001b[K\n",
            "                                       \u001b[01;36m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:183:34:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin expansion of macro ‘\u001b[01m\u001b[KC10_UNLIKELY\u001b[m\u001b[K’\n",
            " #define C10_UNLIKELY_OR_CONST(e) \u001b[01;36m\u001b[KC10_UNLIKELY\u001b[m\u001b[K(e)\n",
            "                                  \u001b[01;36m\u001b[K^~~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:220:7:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin expansion of macro ‘\u001b[01m\u001b[KC10_UNLIKELY_OR_CONST\u001b[m\u001b[K’\n",
            "   if (\u001b[01;36m\u001b[KC10_UNLIKELY_OR_CONST\u001b[m\u001b[K(!(cond))) {       \\\n",
            "       \u001b[01;36m\u001b[K^~~~~~~~~~~~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:410:32:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin expansion of macro ‘\u001b[01m\u001b[KTORCH_INTERNAL_ASSERT\u001b[m\u001b[K’\n",
            "     C10_EXPAND_MSVC_WORKAROUND(\u001b[01;36m\u001b[KTORCH_INTERNAL_ASSERT\u001b[m\u001b[K(cond, __VA_ARGS__));     \\\n",
            "                                \u001b[01;36m\u001b[K^~~~~~~~~~~~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:11:3:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin expansion of macro ‘\u001b[01m\u001b[KAT_ASSERTM\u001b[m\u001b[K’\n",
            "   \u001b[01;36m\u001b[KA\u001b[m\u001b[KT_ASSERTM(dets.type() == scores.type(), \"dets should have the same type as scores\");\n",
            "   \u001b[01;36m\u001b[K^\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Tensor.h:11:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Context.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:5\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/vision.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:2\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:262:30:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "   DeprecatedTypeProperties & \u001b[01;36m\u001b[Ktype\u001b[m\u001b[K() const {\n",
            "                              \u001b[01;36m\u001b[K^~~~\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/core/Device.h:5:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/core/Allocator.h:6\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/vision.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:2\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:11:40:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[Kat::DeprecatedTypeProperties& at::Tensor::type() const\u001b[m\u001b[K’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   AT_ASSERTM(dets.type() == \u001b[01;35m\u001b[Kscores.type()\u001b[m\u001b[K, \"dets should have the same type as scores\");\n",
            "                             \u001b[01;35m\u001b[K~~~~~~~~~~~^~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:164:39:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin definition of macro ‘\u001b[01m\u001b[KC10_EXPAND_MSVC_WORKAROUND\u001b[m\u001b[K’\n",
            " #define C10_EXPAND_MSVC_WORKAROUND(x) \u001b[01;36m\u001b[Kx\u001b[m\u001b[K\n",
            "                                       \u001b[01;36m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:183:34:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin expansion of macro ‘\u001b[01m\u001b[KC10_UNLIKELY\u001b[m\u001b[K’\n",
            " #define C10_UNLIKELY_OR_CONST(e) \u001b[01;36m\u001b[KC10_UNLIKELY\u001b[m\u001b[K(e)\n",
            "                                  \u001b[01;36m\u001b[K^~~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:220:7:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin expansion of macro ‘\u001b[01m\u001b[KC10_UNLIKELY_OR_CONST\u001b[m\u001b[K’\n",
            "   if (\u001b[01;36m\u001b[KC10_UNLIKELY_OR_CONST\u001b[m\u001b[K(!(cond))) {       \\\n",
            "       \u001b[01;36m\u001b[K^~~~~~~~~~~~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:410:32:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin expansion of macro ‘\u001b[01m\u001b[KTORCH_INTERNAL_ASSERT\u001b[m\u001b[K’\n",
            "     C10_EXPAND_MSVC_WORKAROUND(\u001b[01;36m\u001b[KTORCH_INTERNAL_ASSERT\u001b[m\u001b[K(cond, __VA_ARGS__));     \\\n",
            "                                \u001b[01;36m\u001b[K^~~~~~~~~~~~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:11:3:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin expansion of macro ‘\u001b[01m\u001b[KAT_ASSERTM\u001b[m\u001b[K’\n",
            "   \u001b[01;36m\u001b[KA\u001b[m\u001b[KT_ASSERTM(dets.type() == scores.type(), \"dets should have the same type as scores\");\n",
            "   \u001b[01;36m\u001b[K^\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Tensor.h:11:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Context.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:5\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/vision.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:2\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:262:30:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "   DeprecatedTypeProperties & \u001b[01;36m\u001b[Ktype\u001b[m\u001b[K() const {\n",
            "                              \u001b[01;36m\u001b[K^~~~\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/core/Device.h:5:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/core/Allocator.h:6\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/vision.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:2\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:11:40:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[Kat::DeprecatedTypeProperties& at::Tensor::type() const\u001b[m\u001b[K’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   AT_ASSERTM(dets.type() == \u001b[01;35m\u001b[Kscores.type()\u001b[m\u001b[K, \"dets should have the same type as scores\");\n",
            "                             \u001b[01;35m\u001b[K~~~~~~~~~~~^~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:164:39:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin definition of macro ‘\u001b[01m\u001b[KC10_EXPAND_MSVC_WORKAROUND\u001b[m\u001b[K’\n",
            " #define C10_EXPAND_MSVC_WORKAROUND(x) \u001b[01;36m\u001b[Kx\u001b[m\u001b[K\n",
            "                                       \u001b[01;36m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:183:34:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin expansion of macro ‘\u001b[01m\u001b[KC10_UNLIKELY\u001b[m\u001b[K’\n",
            " #define C10_UNLIKELY_OR_CONST(e) \u001b[01;36m\u001b[KC10_UNLIKELY\u001b[m\u001b[K(e)\n",
            "                                  \u001b[01;36m\u001b[K^~~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:220:7:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin expansion of macro ‘\u001b[01m\u001b[KC10_UNLIKELY_OR_CONST\u001b[m\u001b[K’\n",
            "   if (\u001b[01;36m\u001b[KC10_UNLIKELY_OR_CONST\u001b[m\u001b[K(!(cond))) {       \\\n",
            "       \u001b[01;36m\u001b[K^~~~~~~~~~~~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:410:32:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin expansion of macro ‘\u001b[01m\u001b[KTORCH_INTERNAL_ASSERT\u001b[m\u001b[K’\n",
            "     C10_EXPAND_MSVC_WORKAROUND(\u001b[01;36m\u001b[KTORCH_INTERNAL_ASSERT\u001b[m\u001b[K(cond, __VA_ARGS__));     \\\n",
            "                                \u001b[01;36m\u001b[K^~~~~~~~~~~~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:11:3:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kin expansion of macro ‘\u001b[01m\u001b[KAT_ASSERTM\u001b[m\u001b[K’\n",
            "   \u001b[01;36m\u001b[KA\u001b[m\u001b[KT_ASSERTM(dets.type() == scores.type(), \"dets should have the same type as scores\");\n",
            "   \u001b[01;36m\u001b[K^\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Tensor.h:11:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Context.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:5\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/vision.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:2\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:262:30:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "   DeprecatedTypeProperties & \u001b[01;36m\u001b[Ktype\u001b[m\u001b[K() const {\n",
            "                              \u001b[01;36m\u001b[K^~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:29:47:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = unsigned char]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   auto suppressed = \u001b[01;35m\u001b[Ksuppressed_t.data<uint8_t>()\u001b[m\u001b[K;\n",
            "                     \u001b[01;35m\u001b[K~~~~~~~~~~~~~~~~~~~~~~~~~~^~\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Tensor.h:11:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Context.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:5\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/vision.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:2\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:341:7:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "   T * \u001b[01;36m\u001b[Kdata\u001b[m\u001b[K() const {\n",
            "       \u001b[01;36m\u001b[K^~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:30:37:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = long int]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   auto order = \u001b[01;35m\u001b[Korder_t.data<int64_t>()\u001b[m\u001b[K;\n",
            "                \u001b[01;35m\u001b[K~~~~~~~~~~~~~~~~~~~~~^~\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Tensor.h:11:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Context.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:5\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/vision.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:2\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:341:7:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "   T * \u001b[01;36m\u001b[Kdata\u001b[m\u001b[K() const {\n",
            "       \u001b[01;36m\u001b[K^~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:31:8:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = float]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   auto \u001b[01;35m\u001b[Kx1\u001b[m\u001b[K = x1_t.data<scalar_t>();\n",
            "        \u001b[01;35m\u001b[K^~\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Tensor.h:11:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Context.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:5\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/vision.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:2\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:341:7:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "   T * \u001b[01;36m\u001b[Kdata\u001b[m\u001b[K() const {\n",
            "       \u001b[01;36m\u001b[K^~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:32:8:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = float]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   auto \u001b[01;35m\u001b[Ky1\u001b[m\u001b[K = y1_t.data<scalar_t>();\n",
            "        \u001b[01;35m\u001b[K^~\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Tensor.h:11:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Context.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:5\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/vision.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:2\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:341:7:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "   T * \u001b[01;36m\u001b[Kdata\u001b[m\u001b[K() const {\n",
            "       \u001b[01;36m\u001b[K^~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:33:8:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = float]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   auto \u001b[01;35m\u001b[Kx2\u001b[m\u001b[K = x2_t.data<scalar_t>();\n",
            "        \u001b[01;35m\u001b[K^~\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Tensor.h:11:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Context.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:5\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/vision.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:2\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:341:7:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "   T * \u001b[01;36m\u001b[Kdata\u001b[m\u001b[K() const {\n",
            "       \u001b[01;36m\u001b[K^~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:34:8:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = float]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   auto \u001b[01;35m\u001b[Ky2\u001b[m\u001b[K = y2_t.data<scalar_t>();\n",
            "        \u001b[01;35m\u001b[K^~\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Tensor.h:11:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Context.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:5\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/vision.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:2\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:341:7:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "   T * \u001b[01;36m\u001b[Kdata\u001b[m\u001b[K() const {\n",
            "       \u001b[01;36m\u001b[K^~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:35:8:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = float]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   auto \u001b[01;35m\u001b[Kareas\u001b[m\u001b[K = areas_t.data<scalar_t>();\n",
            "        \u001b[01;35m\u001b[K^~~~~\u001b[m\u001b[K\n",
            "In file included from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Tensor.h:11:0\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Context.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:5\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/vision.h:3\u001b[m\u001b[K,\n",
            "                 from \u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.cpp:2\u001b[m\u001b[K:\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:341:7:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "   T * \u001b[01;36m\u001b[Kdata\u001b[m\u001b[K() const {\n",
            "       \u001b[01;36m\u001b[K^~~~\u001b[m\u001b[K\n",
            "/usr/local/cuda/bin/nvcc -DWITH_CUDA -I/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc -I/usr/local/lib/python3.6/dist-packages/torch/include -I/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include -I/usr/local/lib/python3.6/dist-packages/torch/include/TH -I/usr/local/lib/python3.6/dist-packages/torch/include/THC -I/usr/local/cuda/include -I/usr/include/python3.6m -c /content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cuda/ROIAlign_cuda.cu -o build/temp.linux-x86_64-3.6/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cuda/ROIAlign_cuda.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options '-fPIC' -DCUDA_HAS_FP16=1 -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=_C -D_GLIBCXX_USE_CXX11_ABI=0 -gencode=arch=compute_60,code=sm_60 -std=c++14\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cuda/ROIAlign_cuda.cu:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kat::Tensor ROIAlign_forward_cuda(const at::Tensor&, const at::Tensor&, float, int, int, int)\u001b[m\u001b[K’:\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cuda/ROIAlign_cuda.cu:263:62:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[Kat::DeprecatedTypeProperties& at::Tensor::type() const\u001b[m\u001b[K’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   AT_ASSERTM(input.type().is_cuda(), \"input must be a CUDA te\u001b[01;35m\u001b[Kn\u001b[m\u001b[Ksor\");\n",
            "                                                              \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:262:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            " \u001b[01;36m\u001b[K  De\u001b[m\u001b[KprecatedTypeProperties & type() const {\n",
            " \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cuda/ROIAlign_cuda.cu:264:61:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[Kat::DeprecatedTypeProperties& at::Tensor::type() const\u001b[m\u001b[K’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   AT_ASSERTM(rois.type().is_cuda(), \"rois must be a CUDA ten\u001b[01;35m\u001b[Ks\u001b[m\u001b[Kor\");\n",
            "                                                             \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:262:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            " \u001b[01;36m\u001b[K  De\u001b[m\u001b[KprecatedTypeProperties & type() const {\n",
            " \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cuda/ROIAlign_cuda.cu:\u001b[m\u001b[K In lambda function:\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cuda/ROIAlign_cuda.cu:283:43:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[Kat::DeprecatedTypeProperties& at::Tensor::type() const\u001b[m\u001b[K’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   AT_DISPATCH_FLOATING_TYPES(input.type(),\u001b[01;35m\u001b[K \u001b[m\u001b[K\"ROIAlign_forward\", [&] {\n",
            "                                           \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:262:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            " \u001b[01;36m\u001b[K  De\u001b[m\u001b[KprecatedTypeProperties & type() const {\n",
            " \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cuda/ROIAlign_cuda.cu:283:98:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[Kc10::ScalarType detail::scalar_type(const at::DeprecatedTypeProperties&)\u001b[m\u001b[K’ is deprecated: passing at::DeprecatedTypeProperties to an AT_DISPATCH macro is deprecated, pass an at::ScalarType instead [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   AT_DISPATCH_FLOATING_TYPES(input.type(), \"ROIAlign_forward\", [&] {\n",
            "                                                                                                  \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Dispatch.h:46:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            " \u001b[01;36m\u001b[Kinline at::\u001b[m\u001b[KScalarType scalar_type(const at::DeprecatedTypeProperties &t) {\n",
            " \u001b[01;36m\u001b[K^~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cuda/ROIAlign_cuda.cu:\u001b[m\u001b[K In lambda function:\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cuda/ROIAlign_cuda.cu:283:329:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = double]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   AT_DISPATCH_FLOATING_TYPES(input.type(), \"ROIAlign_forward\", [&] {\n",
            "                                                                                                                                                                                                                                                                                                                                         \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:341:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            " \u001b[01;36m\u001b[K  T \u001b[m\u001b[K* data() const {\n",
            " \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cuda/ROIAlign_cuda.cu:283:454:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = double]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   AT_DISPATCH_FLOATING_TYPES(input.type(), \"ROIAlign_forward\", [&] {\n",
            "                                                                                                                                                                                                                                                                                                                                                                                                                                                                      \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:341:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            " \u001b[01;36m\u001b[K  T \u001b[m\u001b[K* data() const {\n",
            " \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cuda/ROIAlign_cuda.cu:283:481:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = double]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   AT_DISPATCH_FLOATING_TYPES(input.type(), \"ROIAlign_forward\", [&] {\n",
            "                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                 \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:341:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            " \u001b[01;36m\u001b[K  T \u001b[m\u001b[K* data() const {\n",
            " \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cuda/ROIAlign_cuda.cu:\u001b[m\u001b[K In lambda function:\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cuda/ROIAlign_cuda.cu:283:703:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = float]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   AT_DISPATCH_FLOATING_TYPES(input.type(), \"ROIAlign_forward\", [&] {\n",
            "                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                               \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:341:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            " \u001b[01;36m\u001b[K  T \u001b[m\u001b[K* data() const {\n",
            " \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cuda/ROIAlign_cuda.cu:283:827:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = float]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   AT_DISPATCH_FLOATING_TYPES(input.type(), \"ROIAlign_forward\", [&] {\n",
            "                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                           \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:341:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            " \u001b[01;36m\u001b[K  T \u001b[m\u001b[K* data() const {\n",
            " \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cuda/ROIAlign_cuda.cu:283:853:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = float]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   AT_DISPATCH_FLOATING_TYPES(input.type(), \"ROIAlign_forward\", [&] {\n",
            "                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                     \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:341:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            " \u001b[01;36m\u001b[K  T \u001b[m\u001b[K* data() const {\n",
            " \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cuda/ROIAlign_cuda.cu:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kat::Tensor ROIAlign_backward_cuda(const at::Tensor&, const at::Tensor&, float, int, int, int, int, int, int, int)\u001b[m\u001b[K’:\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cuda/ROIAlign_cuda.cu:312:61:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[Kat::DeprecatedTypeProperties& at::Tensor::type() const\u001b[m\u001b[K’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   AT_ASSERTM(grad.type().is_cuda(), \"grad must be a CUDA ten\u001b[01;35m\u001b[Ks\u001b[m\u001b[Kor\");\n",
            "                                                             \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:262:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            " \u001b[01;36m\u001b[K  De\u001b[m\u001b[KprecatedTypeProperties & type() const {\n",
            " \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cuda/ROIAlign_cuda.cu:313:61:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[Kat::DeprecatedTypeProperties& at::Tensor::type() const\u001b[m\u001b[K’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   AT_ASSERTM(rois.type().is_cuda(), \"rois must be a CUDA ten\u001b[01;35m\u001b[Ks\u001b[m\u001b[Kor\");\n",
            "                                                             \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:262:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            " \u001b[01;36m\u001b[K  De\u001b[m\u001b[KprecatedTypeProperties & type() const {\n",
            " \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cuda/ROIAlign_cuda.cu:\u001b[m\u001b[K In lambda function:\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cuda/ROIAlign_cuda.cu:329:42:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[Kat::DeprecatedTypeProperties& at::Tensor::type() const\u001b[m\u001b[K’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   AT_DISPATCH_FLOATING_TYPES(grad.type(),\u001b[01;35m\u001b[K \u001b[m\u001b[K\"ROIAlign_backward\", [&] {\n",
            "                                          \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:262:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            " \u001b[01;36m\u001b[K  De\u001b[m\u001b[KprecatedTypeProperties & type() const {\n",
            " \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cuda/ROIAlign_cuda.cu:329:97:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[Kc10::ScalarType detail::scalar_type(const at::DeprecatedTypeProperties&)\u001b[m\u001b[K’ is deprecated: passing at::DeprecatedTypeProperties to an AT_DISPATCH macro is deprecated, pass an at::ScalarType instead [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   AT_DISPATCH_FLOATING_TYPES(grad.type(), \"ROIAlign_backward\", [&] {\n",
            "                                                                                                 \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Dispatch.h:46:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            " \u001b[01;36m\u001b[Kinline at::\u001b[m\u001b[KScalarType scalar_type(const at::DeprecatedTypeProperties &t) {\n",
            " \u001b[01;36m\u001b[K^~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cuda/ROIAlign_cuda.cu:\u001b[m\u001b[K In lambda function:\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cuda/ROIAlign_cuda.cu:329:338:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = double]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   AT_DISPATCH_FLOATING_TYPES(grad.type(), \"ROIAlign_backward\", [&] {\n",
            "                                                                                                                                                                                                                                                                                                                                                  \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:341:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            " \u001b[01;36m\u001b[K  T \u001b[m\u001b[K* data() const {\n",
            " \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cuda/ROIAlign_cuda.cu:329:464:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = double]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   AT_DISPATCH_FLOATING_TYPES(grad.type(), \"ROIAlign_backward\", [&] {\n",
            "                                                                                                                                                                                                                                                                                                                                                                                                                                                                                \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:341:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            " \u001b[01;36m\u001b[K  T \u001b[m\u001b[K* data() const {\n",
            " \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cuda/ROIAlign_cuda.cu:329:504:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = double]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   AT_DISPATCH_FLOATING_TYPES(grad.type(), \"ROIAlign_backward\", [&] {\n",
            "                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                        \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:341:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            " \u001b[01;36m\u001b[K  T \u001b[m\u001b[K* data() const {\n",
            " \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cuda/ROIAlign_cuda.cu:\u001b[m\u001b[K In lambda function:\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cuda/ROIAlign_cuda.cu:329:736:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = float]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   AT_DISPATCH_FLOATING_TYPES(grad.type(), \"ROIAlign_backward\", [&] {\n",
            "                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:341:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            " \u001b[01;36m\u001b[K  T \u001b[m\u001b[K* data() const {\n",
            " \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cuda/ROIAlign_cuda.cu:329:861:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = float]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   AT_DISPATCH_FLOATING_TYPES(grad.type(), \"ROIAlign_backward\", [&] {\n",
            "                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                             \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:341:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            " \u001b[01;36m\u001b[K  T \u001b[m\u001b[K* data() const {\n",
            " \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cuda/ROIAlign_cuda.cu:329:900:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = float]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   AT_DISPATCH_FLOATING_TYPES(grad.type(), \"ROIAlign_backward\", [&] {\n",
            "                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:341:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            " \u001b[01;36m\u001b[K  T \u001b[m\u001b[K* data() const {\n",
            " \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "/usr/local/cuda/bin/nvcc -DWITH_CUDA -I/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc -I/usr/local/lib/python3.6/dist-packages/torch/include -I/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include -I/usr/local/lib/python3.6/dist-packages/torch/include/TH -I/usr/local/lib/python3.6/dist-packages/torch/include/THC -I/usr/local/cuda/include -I/usr/include/python3.6m -c /content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cuda/nms.cu -o build/temp.linux-x86_64-3.6/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cuda/nms.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options '-fPIC' -DCUDA_HAS_FP16=1 -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=_C -D_GLIBCXX_USE_CXX11_ABI=0 -gencode=arch=compute_60,code=sm_60 -std=c++14\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cuda/nms.cu:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kat::Tensor nms_cuda(at::Tensor, float)\u001b[m\u001b[K’:\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cuda/nms.cu:72:62:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[Kat::DeprecatedTypeProperties& at::Tensor::type() const\u001b[m\u001b[K’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   AT_ASSERTM(boxes.type().is_cuda(), \"boxes must be a CUDA te\u001b[01;35m\u001b[Kn\u001b[m\u001b[Ksor\");\n",
            "                                                              \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:262:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            " \u001b[01;36m\u001b[K  De\u001b[m\u001b[KprecatedTypeProperties & type() const {\n",
            " \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cuda/nms.cu:81:50:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = float]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   scalar_t* boxes_dev = boxes_sorted.data<scalar_\u001b[01;35m\u001b[Kt\u001b[m\u001b[K>();\n",
            "                                                  \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:341:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            " \u001b[01;36m\u001b[K  T \u001b[m\u001b[K* data() const {\n",
            " \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cuda/nms.cu:109:46:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = long int]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   int64_t* keep_out = keep.data<int64_t>();\n",
            "                                              \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:341:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            " \u001b[01;36m\u001b[K  T \u001b[m\u001b[K* data() const {\n",
            " \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "/usr/local/cuda/bin/nvcc -DWITH_CUDA -I/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc -I/usr/local/lib/python3.6/dist-packages/torch/include -I/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include -I/usr/local/lib/python3.6/dist-packages/torch/include/TH -I/usr/local/lib/python3.6/dist-packages/torch/include/THC -I/usr/local/cuda/include -I/usr/include/python3.6m -c /content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cuda/ROIPool_cuda.cu -o build/temp.linux-x86_64-3.6/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cuda/ROIPool_cuda.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options '-fPIC' -DCUDA_HAS_FP16=1 -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=_C -D_GLIBCXX_USE_CXX11_ABI=0 -gencode=arch=compute_60,code=sm_60 -std=c++14\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cuda/ROIPool_cuda.cu:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kstd::tuple<at::Tensor, at::Tensor> ROIPool_forward_cuda(const at::Tensor&, const at::Tensor&, float, int, int)\u001b[m\u001b[K’:\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cuda/ROIPool_cuda.cu:115:62:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[Kat::DeprecatedTypeProperties& at::Tensor::type() const\u001b[m\u001b[K’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   AT_ASSERTM(input.type().is_cuda(), \"input must be a CUDA te\u001b[01;35m\u001b[Kn\u001b[m\u001b[Ksor\");\n",
            "                                                              \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:262:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            " \u001b[01;36m\u001b[K  De\u001b[m\u001b[KprecatedTypeProperties & type() const {\n",
            " \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cuda/ROIPool_cuda.cu:116:61:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[Kat::DeprecatedTypeProperties& at::Tensor::type() const\u001b[m\u001b[K’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   AT_ASSERTM(rois.type().is_cuda(), \"rois must be a CUDA ten\u001b[01;35m\u001b[Ks\u001b[m\u001b[Kor\");\n",
            "                                                             \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:262:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            " \u001b[01;36m\u001b[K  De\u001b[m\u001b[KprecatedTypeProperties & type() const {\n",
            " \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cuda/ROIPool_cuda.cu:\u001b[m\u001b[K In lambda function:\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cuda/ROIPool_cuda.cu:137:43:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[Kat::DeprecatedTypeProperties& at::Tensor::type() const\u001b[m\u001b[K’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   AT_DISPATCH_FLOATING_TYPES(input.type(),\u001b[01;35m\u001b[K \u001b[m\u001b[K\"ROIPool_forward\", [&] {\n",
            "                                           \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:262:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            " \u001b[01;36m\u001b[K  De\u001b[m\u001b[KprecatedTypeProperties & type() const {\n",
            " \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cuda/ROIPool_cuda.cu:137:98:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[Kc10::ScalarType detail::scalar_type(const at::DeprecatedTypeProperties&)\u001b[m\u001b[K’ is deprecated: passing at::DeprecatedTypeProperties to an AT_DISPATCH macro is deprecated, pass an at::ScalarType instead [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   AT_DISPATCH_FLOATING_TYPES(input.type(), \"ROIPool_forward\", [&] {\n",
            "                                                                                                  \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Dispatch.h:46:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            " \u001b[01;36m\u001b[Kinline at::\u001b[m\u001b[KScalarType scalar_type(const at::DeprecatedTypeProperties &t) {\n",
            " \u001b[01;36m\u001b[K^~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cuda/ROIPool_cuda.cu:\u001b[m\u001b[K In lambda function:\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cuda/ROIPool_cuda.cu:137:329:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = double]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   AT_DISPATCH_FLOATING_TYPES(input.type(), \"ROIPool_forward\", [&] {\n",
            "                                                                                                                                                                                                                                                                                                                                         \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:341:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            " \u001b[01;36m\u001b[K  T \u001b[m\u001b[K* data() const {\n",
            " \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cuda/ROIPool_cuda.cu:137:438:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = double]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   AT_DISPATCH_FLOATING_TYPES(input.type(), \"ROIPool_forward\", [&] {\n",
            "                                                                                                                                                                                                                                                                                                                                                                                                                                                      \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:341:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            " \u001b[01;36m\u001b[K  T \u001b[m\u001b[K* data() const {\n",
            " \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cuda/ROIPool_cuda.cu:137:465:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = double]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   AT_DISPATCH_FLOATING_TYPES(input.type(), \"ROIPool_forward\", [&] {\n",
            "                                                                                                                                                                                                                                                                                                                                                                                                                                                                                 \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:341:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            " \u001b[01;36m\u001b[K  T \u001b[m\u001b[K* data() const {\n",
            " \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cuda/ROIPool_cuda.cu:137:489:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = int]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   AT_DISPATCH_FLOATING_TYPES(input.type(), \"ROIPool_forward\", [&] {\n",
            "                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                         \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:341:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            " \u001b[01;36m\u001b[K  T \u001b[m\u001b[K* data() const {\n",
            " \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cuda/ROIPool_cuda.cu:\u001b[m\u001b[K In lambda function:\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cuda/ROIPool_cuda.cu:137:711:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = float]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   AT_DISPATCH_FLOATING_TYPES(input.type(), \"ROIPool_forward\", [&] {\n",
            "                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                       \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:341:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            " \u001b[01;36m\u001b[K  T \u001b[m\u001b[K* data() const {\n",
            " \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cuda/ROIPool_cuda.cu:137:819:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = float]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   AT_DISPATCH_FLOATING_TYPES(input.type(), \"ROIPool_forward\", [&] {\n",
            "                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                   \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:341:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            " \u001b[01;36m\u001b[K  T \u001b[m\u001b[K* data() const {\n",
            " \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cuda/ROIPool_cuda.cu:137:845:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = float]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   AT_DISPATCH_FLOATING_TYPES(input.type(), \"ROIPool_forward\", [&] {\n",
            "                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                             \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:341:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            " \u001b[01;36m\u001b[K  T \u001b[m\u001b[K* data() const {\n",
            " \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cuda/ROIPool_cuda.cu:137:869:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = int]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   AT_DISPATCH_FLOATING_TYPES(input.type(), \"ROIPool_forward\", [&] {\n",
            "                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                     \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:341:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            " \u001b[01;36m\u001b[K  T \u001b[m\u001b[K* data() const {\n",
            " \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cuda/ROIPool_cuda.cu:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kat::Tensor ROIPool_backward_cuda(const at::Tensor&, const at::Tensor&, const at::Tensor&, const at::Tensor&, float, int, int, int, int, int, int)\u001b[m\u001b[K’:\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cuda/ROIPool_cuda.cu:167:61:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[Kat::DeprecatedTypeProperties& at::Tensor::type() const\u001b[m\u001b[K’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   AT_ASSERTM(grad.type().is_cuda(), \"grad must be a CUDA ten\u001b[01;35m\u001b[Ks\u001b[m\u001b[Kor\");\n",
            "                                                             \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:262:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            " \u001b[01;36m\u001b[K  De\u001b[m\u001b[KprecatedTypeProperties & type() const {\n",
            " \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cuda/ROIPool_cuda.cu:168:61:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[Kat::DeprecatedTypeProperties& at::Tensor::type() const\u001b[m\u001b[K’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   AT_ASSERTM(rois.type().is_cuda(), \"rois must be a CUDA ten\u001b[01;35m\u001b[Ks\u001b[m\u001b[Kor\");\n",
            "                                                             \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:262:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            " \u001b[01;36m\u001b[K  De\u001b[m\u001b[KprecatedTypeProperties & type() const {\n",
            " \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cuda/ROIPool_cuda.cu:\u001b[m\u001b[K In lambda function:\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cuda/ROIPool_cuda.cu:185:42:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[Kat::DeprecatedTypeProperties& at::Tensor::type() const\u001b[m\u001b[K’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   AT_DISPATCH_FLOATING_TYPES(grad.type(),\u001b[01;35m\u001b[K \u001b[m\u001b[K\"ROIPool_backward\", [&] {\n",
            "                                          \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:262:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            " \u001b[01;36m\u001b[K  De\u001b[m\u001b[KprecatedTypeProperties & type() const {\n",
            " \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cuda/ROIPool_cuda.cu:185:97:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[Kc10::ScalarType detail::scalar_type(const at::DeprecatedTypeProperties&)\u001b[m\u001b[K’ is deprecated: passing at::DeprecatedTypeProperties to an AT_DISPATCH macro is deprecated, pass an at::ScalarType instead [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   AT_DISPATCH_FLOATING_TYPES(grad.type(), \"ROIPool_backward\", [&] {\n",
            "                                                                                                 \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Dispatch.h:46:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            " \u001b[01;36m\u001b[Kinline at::\u001b[m\u001b[KScalarType scalar_type(const at::DeprecatedTypeProperties &t) {\n",
            " \u001b[01;36m\u001b[K^~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cuda/ROIPool_cuda.cu:\u001b[m\u001b[K In lambda function:\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cuda/ROIPool_cuda.cu:185:331:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = double]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   AT_DISPATCH_FLOATING_TYPES(grad.type(), \"ROIPool_backward\", [&] {\n",
            "                                                                                                                                                                                                                                                                                                                                           \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:341:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            " \u001b[01;36m\u001b[K  T \u001b[m\u001b[K* data() const {\n",
            " \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cuda/ROIPool_cuda.cu:185:355:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = int]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   AT_DISPATCH_FLOATING_TYPES(grad.type(), \"ROIPool_backward\", [&] {\n",
            "                                                                                                                                                                                                                                                                                                                                                                   \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:341:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            " \u001b[01;36m\u001b[K  T \u001b[m\u001b[K* data() const {\n",
            " \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cuda/ROIPool_cuda.cu:185:465:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = double]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   AT_DISPATCH_FLOATING_TYPES(grad.type(), \"ROIPool_backward\", [&] {\n",
            "                                                                                                                                                                                                                                                                                                                                                                                                                                                                                 \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:341:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            " \u001b[01;36m\u001b[K  T \u001b[m\u001b[K* data() const {\n",
            " \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cuda/ROIPool_cuda.cu:185:505:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = double]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   AT_DISPATCH_FLOATING_TYPES(grad.type(), \"ROIPool_backward\", [&] {\n",
            "                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                         \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:341:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            " \u001b[01;36m\u001b[K  T \u001b[m\u001b[K* data() const {\n",
            " \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cuda/ROIPool_cuda.cu:\u001b[m\u001b[K In lambda function:\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cuda/ROIPool_cuda.cu:185:730:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = float]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   AT_DISPATCH_FLOATING_TYPES(grad.type(), \"ROIPool_backward\", [&] {\n",
            "                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                          \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:341:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            " \u001b[01;36m\u001b[K  T \u001b[m\u001b[K* data() const {\n",
            " \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cuda/ROIPool_cuda.cu:185:754:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = int]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   AT_DISPATCH_FLOATING_TYPES(grad.type(), \"ROIPool_backward\", [&] {\n",
            "                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:341:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            " \u001b[01;36m\u001b[K  T \u001b[m\u001b[K* data() const {\n",
            " \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cuda/ROIPool_cuda.cu:185:863:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = float]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   AT_DISPATCH_FLOATING_TYPES(grad.type(), \"ROIPool_backward\", [&] {\n",
            "                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                               \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:341:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            " \u001b[01;36m\u001b[K  T \u001b[m\u001b[K* data() const {\n",
            " \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cuda/ROIPool_cuda.cu:185:902:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = float]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "   AT_DISPATCH_FLOATING_TYPES(grad.type(), \"ROIPool_backward\", [&] {\n",
            "                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                      \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:341:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            " \u001b[01;36m\u001b[K  T \u001b[m\u001b[K* data() const {\n",
            " \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "x86_64-linux-gnu-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-3.6/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/vision.o build/temp.linux-x86_64-3.6/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/ROIAlign_cpu.o build/temp.linux-x86_64-3.6/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cpu/nms_cpu.o build/temp.linux-x86_64-3.6/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cuda/ROIAlign_cuda.o build/temp.linux-x86_64-3.6/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cuda/nms.o build/temp.linux-x86_64-3.6/content/drive/My Drive/faster-rcnn.pytorch/lib/model/csrc/cuda/ROIPool_cuda.o -L/usr/local/lib/python3.6/dist-packages/torch/lib -L/usr/local/cuda/lib64 -lc10 -ltorch -ltorch_cpu -ltorch_python -lcudart -lc10_cuda -ltorch_cuda -o build/lib.linux-x86_64-3.6/model/_C.cpython-36m-x86_64-linux-gnu.so\n",
            "running develop\n",
            "running egg_info\n",
            "creating faster_rcnn.egg-info\n",
            "writing faster_rcnn.egg-info/PKG-INFO\n",
            "writing dependency_links to faster_rcnn.egg-info/dependency_links.txt\n",
            "writing top-level names to faster_rcnn.egg-info/top_level.txt\n",
            "writing manifest file 'faster_rcnn.egg-info/SOURCES.txt'\n",
            "reading manifest file 'faster_rcnn.egg-info/SOURCES.txt'\n",
            "writing manifest file 'faster_rcnn.egg-info/SOURCES.txt'\n",
            "running build_ext\n",
            "copying build/lib.linux-x86_64-3.6/model/_C.cpython-36m-x86_64-linux-gnu.so -> model\n",
            "Creating /usr/local/lib/python3.6/dist-packages/faster-rcnn.egg-link (link to .)\n",
            "Adding faster-rcnn 0.1 to easy-install.pth file\n",
            "\n",
            "Installed /content/drive/My Drive/faster-rcnn.pytorch/lib\n",
            "Processing dependencies for faster-rcnn==0.1\n",
            "Finished processing dependencies for faster-rcnn==0.1\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "W4ZUp-DkFZTG",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "b94a6640-73c7-4a4c-bf83-a071abf2ed94"
      },
      "source": [
        "cd /content/drive/My Drive/faster-rcnn.pytorch/data"
      ],
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content/drive/My Drive/faster-rcnn.pytorch/data\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "i7m3-wbKGwe_",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "!mkdir pretrained_model"
      ],
      "execution_count": 20,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "OwmYrwt3GzR1",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "d7b37f9d-d255-4904-bdd4-f3c81dcfae56"
      },
      "source": [
        "cd pretrained_model"
      ],
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content/drive/My Drive/faster-rcnn.pytorch/data/pretrained_model\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Pr4HiA8rG5ki",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 302
        },
        "outputId": "1f830e2e-3798-40ef-d87d-12bfa08a31da"
      },
      "source": [
        "!wget clone https://filebox.ece.vt.edu/~jw2yang/faster-rcnn/pretrained-base-models/resnet101_caffe.pth"
      ],
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "--2020-07-14 11:36:24--  http://clone/\n",
            "Resolving clone (clone)... failed: Name or service not known.\n",
            "wget: unable to resolve host address ‘clone’\n",
            "--2020-07-14 11:36:24--  https://filebox.ece.vt.edu/~jw2yang/faster-rcnn/pretrained-base-models/resnet101_caffe.pth\n",
            "Resolving filebox.ece.vt.edu (filebox.ece.vt.edu)... 128.173.88.43\n",
            "Connecting to filebox.ece.vt.edu (filebox.ece.vt.edu)|128.173.88.43|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 178678116 (170M)\n",
            "Saving to: ‘resnet101_caffe.pth’\n",
            "\n",
            "resnet101_caffe.pth 100%[===================>] 170.40M  28.6MB/s    in 5.8s    \n",
            "\n",
            "2020-07-14 11:36:30 (29.5 MB/s) - ‘resnet101_caffe.pth’ saved [178678116/178678116]\n",
            "\n",
            "FINISHED --2020-07-14 11:36:30--\n",
            "Total wall clock time: 5.9s\n",
            "Downloaded: 1 files, 170M in 5.8s (29.5 MB/s)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "J3hPHIvSHIUp",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "outputId": "6f92d5e2-e354-43e1-c3aa-5e6fd4d050bf"
      },
      "source": [
        "pwd"
      ],
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "application/vnd.google.colaboratory.intrinsic": {
              "type": "string"
            },
            "text/plain": [
              "'/content/drive/My Drive/faster-rcnn.pytorch/data/pretrained_model'"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 23
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "gmsvdfR2HiPA",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "11e44dbb-4860-450d-c91b-7266ba0f0b9b"
      },
      "source": [
        "cd .."
      ],
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content/drive/My Drive/faster-rcnn.pytorch/data\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "lC4zDoS_HkBF",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "!mkdir VOCdevkit2007"
      ],
      "execution_count": 25,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "okqFrKQ4HosF",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "738df175-f54f-4ed1-8c65-8167aadbcaec"
      },
      "source": [
        "cd /content/drive/My Drive/faster-rcnn.pytorch"
      ],
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content/drive/My Drive/faster-rcnn.pytorch\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "XrQ54wWSI7vI",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "!mkdir models"
      ],
      "execution_count": 27,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "uxc2JwpoJAoX",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 151
        },
        "outputId": "0fcf133a-a813-4ce2-f680-a24a6c51489e"
      },
      "source": [
        "!CUDA_VISIBLE_DEVICES=0 python trainval_net.py \t--dataset pascal_voc --net res101 \\\n",
        "\t\t\t\t\t\t\t--epochs 20 --bs 1 --nw 4 --lr 1e-2 --lr_decay_step 8 --use_tfb \\\n",
        "\t\t\t\t\t\t\t--mGPUs --cuda"
      ],
      "execution_count": 28,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Traceback (most recent call last):\n",
            "  File \"trainval_net.py\", line 28, in <module>\n",
            "    from roi_data_layer.roibatchLoader import roibatchLoader\n",
            "  File \"/content/drive/My Drive/faster-rcnn.pytorch/lib/roi_data_layer/roibatchLoader.py\", line 14, in <module>\n",
            "    from roi_data_layer.minibatch import get_minibatch, get_minibatch\n",
            "  File \"/content/drive/My Drive/faster-rcnn.pytorch/lib/roi_data_layer/minibatch.py\", line 15, in <module>\n",
            "    from scipy.misc import imread\n",
            "ImportError: cannot import name 'imread'\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7uz6ZTzwJRVE",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 238
        },
        "outputId": "3095fb87-5ad3-47ad-8fc1-7ed32557221b"
      },
      "source": [
        "!pip install scipy==1.2.1"
      ],
      "execution_count": 29,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Collecting scipy==1.2.1\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/7f/5f/c48860704092933bf1c4c1574a8de1ffd16bf4fde8bab190d747598844b2/scipy-1.2.1-cp36-cp36m-manylinux1_x86_64.whl (24.8MB)\n",
            "\u001b[K     |████████████████████████████████| 24.8MB 130kB/s \n",
            "\u001b[?25hRequirement already satisfied: numpy>=1.8.2 in /usr/local/lib/python3.6/dist-packages (from scipy==1.2.1) (1.18.5)\n",
            "\u001b[31mERROR: umap-learn 0.4.6 has requirement scipy>=1.3.1, but you'll have scipy 1.2.1 which is incompatible.\u001b[0m\n",
            "\u001b[31mERROR: tensorflow 2.2.0 has requirement scipy==1.4.1; python_version >= \"3\", but you'll have scipy 1.2.1 which is incompatible.\u001b[0m\n",
            "\u001b[31mERROR: albumentations 0.1.12 has requirement imgaug<0.2.7,>=0.2.5, but you'll have imgaug 0.2.9 which is incompatible.\u001b[0m\n",
            "Installing collected packages: scipy\n",
            "  Found existing installation: scipy 1.4.1\n",
            "    Uninstalling scipy-1.4.1:\n",
            "      Successfully uninstalled scipy-1.4.1\n",
            "Successfully installed scipy-1.2.1\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-vVCrJmSJcdt",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "1568925f-60b1-4c07-ccec-9acb9fd347e8"
      },
      "source": [
        "!CUDA_VISIBLE_DEVICES=0 python trainval_net.py \t--dataset pascal_voc --net res101 \\\n",
        "\t\t\t\t\t\t\t--epochs 20 --bs 1 --nw 4 --lr 1e-2 --lr_decay_step 8 --use_tfb \\\n",
        "\t\t\t\t\t\t\t--mGPUs --cuda"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Called with args:\n",
            "Namespace(batch_size=1, checkepoch=1, checkpoint=0, checkpoint_interval=10000, checksession=1, class_agnostic=False, cuda=True, dataset='pascal_voc', disp_interval=100, large_scale=False, lr=0.01, lr_decay_gamma=0.1, lr_decay_step=8, mGPUs=True, max_epochs=20, net='res101', num_workers=4, optimizer='sgd', resume=False, save_dir='/content/drive/My Drive/faster-rcnn.pytorch/models', session=1, start_epoch=1, use_tfboard=True)\n",
            "Using config:\n",
            "{'ANCHOR_RATIOS': [0.5, 1, 2],\n",
            " 'ANCHOR_SCALES': [8, 16, 32],\n",
            " 'CROP_RESIZE_WITH_MAX_POOL': False,\n",
            " 'CUDA': False,\n",
            " 'DATA_DIR': '/content/drive/My Drive/faster-rcnn.pytorch/data',\n",
            " 'DEDUP_BOXES': 0.0625,\n",
            " 'EPS': 1e-14,\n",
            " 'EXP_DIR': 'res101',\n",
            " 'FEAT_STRIDE': [16],\n",
            " 'GPU_ID': 0,\n",
            " 'MATLAB': 'matlab',\n",
            " 'MAX_NUM_GT_BOXES': 20,\n",
            " 'MOBILENET': {'DEPTH_MULTIPLIER': 1.0,\n",
            "               'FIXED_LAYERS': 5,\n",
            "               'REGU_DEPTH': False,\n",
            "               'WEIGHT_DECAY': 4e-05},\n",
            " 'PIXEL_MEANS': array([[[102.9801, 115.9465, 122.7717]]]),\n",
            " 'POOLING_MODE': 'align',\n",
            " 'POOLING_SIZE': 7,\n",
            " 'RESNET': {'FIXED_BLOCKS': 1, 'MAX_POOL': False},\n",
            " 'RNG_SEED': 3,\n",
            " 'ROOT_DIR': '/content/drive/My Drive/faster-rcnn.pytorch',\n",
            " 'TEST': {'BBOX_REG': True,\n",
            "          'HAS_RPN': True,\n",
            "          'MAX_SIZE': 1000,\n",
            "          'MODE': 'nms',\n",
            "          'NMS': 0.3,\n",
            "          'PROPOSAL_METHOD': 'gt',\n",
            "          'RPN_MIN_SIZE': 16,\n",
            "          'RPN_NMS_THRESH': 0.7,\n",
            "          'RPN_POST_NMS_TOP_N': 300,\n",
            "          'RPN_PRE_NMS_TOP_N': 6000,\n",
            "          'RPN_TOP_N': 5000,\n",
            "          'SCALES': [600],\n",
            "          'SVM': False},\n",
            " 'TRAIN': {'ASPECT_GROUPING': False,\n",
            "           'BATCH_SIZE': 128,\n",
            "           'BBOX_INSIDE_WEIGHTS': [1.0, 1.0, 1.0, 1.0],\n",
            "           'BBOX_NORMALIZE_MEANS': [0.0, 0.0, 0.0, 0.0],\n",
            "           'BBOX_NORMALIZE_STDS': [0.1, 0.1, 0.2, 0.2],\n",
            "           'BBOX_NORMALIZE_TARGETS': True,\n",
            "           'BBOX_NORMALIZE_TARGETS_PRECOMPUTED': True,\n",
            "           'BBOX_REG': True,\n",
            "           'BBOX_THRESH': 0.5,\n",
            "           'BG_THRESH_HI': 0.5,\n",
            "           'BG_THRESH_LO': 0.0,\n",
            "           'BIAS_DECAY': False,\n",
            "           'BN_TRAIN': False,\n",
            "           'DISPLAY': 20,\n",
            "           'DOUBLE_BIAS': False,\n",
            "           'FG_FRACTION': 0.25,\n",
            "           'FG_THRESH': 0.5,\n",
            "           'GAMMA': 0.1,\n",
            "           'HAS_RPN': True,\n",
            "           'IMS_PER_BATCH': 1,\n",
            "           'LEARNING_RATE': 0.001,\n",
            "           'MAX_SIZE': 1000,\n",
            "           'MOMENTUM': 0.9,\n",
            "           'PROPOSAL_METHOD': 'gt',\n",
            "           'RPN_BATCHSIZE': 256,\n",
            "           'RPN_BBOX_INSIDE_WEIGHTS': [1.0, 1.0, 1.0, 1.0],\n",
            "           'RPN_CLOBBER_POSITIVES': False,\n",
            "           'RPN_FG_FRACTION': 0.5,\n",
            "           'RPN_MIN_SIZE': 8,\n",
            "           'RPN_NEGATIVE_OVERLAP': 0.3,\n",
            "           'RPN_NMS_THRESH': 0.7,\n",
            "           'RPN_POSITIVE_OVERLAP': 0.7,\n",
            "           'RPN_POSITIVE_WEIGHT': -1.0,\n",
            "           'RPN_POST_NMS_TOP_N': 2000,\n",
            "           'RPN_PRE_NMS_TOP_N': 12000,\n",
            "           'SCALES': [600],\n",
            "           'SNAPSHOT_ITERS': 5000,\n",
            "           'SNAPSHOT_KEPT': 3,\n",
            "           'SNAPSHOT_PREFIX': 'res101_faster_rcnn',\n",
            "           'STEPSIZE': [30000],\n",
            "           'SUMMARY_INTERVAL': 180,\n",
            "           'TRIM_HEIGHT': 600,\n",
            "           'TRIM_WIDTH': 600,\n",
            "           'TRUNCATED': False,\n",
            "           'USE_ALL_GT': True,\n",
            "           'USE_FLIPPED': True,\n",
            "           'USE_GT': False,\n",
            "           'WEIGHT_DECAY': 0.0001},\n",
            " 'USE_GPU_NMS': True}\n",
            "Loaded dataset `voc_2007_trainval` for training\n",
            "Set proposal method: gt\n",
            "Appending horizontally-flipped training examples...\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "84-vGkKrJh9Z",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 148
        },
        "outputId": "e3393655-76c2-466d-c653-378c137e6c50"
      },
      "source": [
        "！python demo.py --dataset pascal_voc --net res101  --cfg cfgs/res101.yml --load_dir models --checksession 1 --checkepoch 28  --checkpoint 2813  --image_dir images --cuda --bs 1"
      ],
      "execution_count": 33,
      "outputs": [
        {
          "output_type": "error",
          "ename": "SyntaxError",
          "evalue": "ignored",
          "traceback": [
            "\u001b[0;36m  File \u001b[0;32m\"<ipython-input-33-9d8698bafaa8>\"\u001b[0;36m, line \u001b[0;32m1\u001b[0m\n\u001b[0;31m    ！python demo.py --dataset pascal_voc --net res101  --cfg cfgs/res101.yml --load_dir models --checksession 1 --checkepoch 28  --checkpoint 2813  --image_dir images --cuda --bs 1\u001b[0m\n\u001b[0m          ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m invalid character in identifier\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "yom5mFzNU62c",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}